Skip to main content
Erschienen in: Pattern Analysis and Applications 4/2019

27.02.2019 | Survey

3D object recognition and classification: a systematic literature review

verfasst von: L. E. Carvalho, A. von Wangenheim

Erschienen in: Pattern Analysis and Applications | Ausgabe 4/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, we present a systematic literature review concerning 3D object recognition and classification. We cover articles published between 2006 and 2016 available in three scientific databases (ScienceDirect, IEEE Xplore and ACM), using the methodology for systematic review proposed by Kitchenham. Based on this methodology, we used tags and exclusion criteria to select papers about the topic under study. After the works selection, we applied a categorization process aiming to group similar object representation types, analyzing the steps applied for object recognition, the tests and evaluation performed and the databases used. Lastly, we compressed all the obtained information in a general overview and presented future prospects for the area.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Abdelrahman M, Farag AA, El-Melegy M (2013) Heat front propagation contours for 3d face recognition. In: 2013 IEEE sixth international conference on biometrics: theory, applications and systems (BTAS), pp 1–6 Abdelrahman M, Farag AA, El-Melegy M (2013) Heat front propagation contours for 3d face recognition. In: 2013 IEEE sixth international conference on biometrics: theory, applications and systems (BTAS), pp 1–6
2.
Zurück zum Zitat Akagunduz E, Ulusoy I (2010) 3D object recognition from range images using transform invariant object representation. Electron Lett 46(22):1499–1500CrossRef Akagunduz E, Ulusoy I (2010) 3D object recognition from range images using transform invariant object representation. Electron Lett 46(22):1499–1500CrossRef
3.
Zurück zum Zitat Akbar H, Suryana N, Sahib S (2011) Training neural networks using clonal selection algorithm and particle swarm optimization: a comparisons for 3D object recognition. In: 2011 11th International conference on hybrid intelligent systems (HIS), pp 692–697 Akbar H, Suryana N, Sahib S (2011) Training neural networks using clonal selection algorithm and particle swarm optimization: a comparisons for 3D object recognition. In: 2011 11th International conference on hybrid intelligent systems (HIS), pp 692–697
4.
Zurück zum Zitat Akgül CB, Sankur B, Yemez Y, Schmitt F (2009) 3D model retrieval using probability density-based shape descriptors. IEEE Trans Pattern Anal Mach Intell 31(6):1117–1133MATHCrossRef Akgül CB, Sankur B, Yemez Y, Schmitt F (2009) 3D model retrieval using probability density-based shape descriptors. IEEE Trans Pattern Anal Mach Intell 31(6):1117–1133MATHCrossRef
5.
Zurück zum Zitat Akihiro N, Fukui K (2011) Compound mutual subspace method for 3d object recognition: a theoretical extension of mutual subspace method. In: Proceedings of the 2010 international conference on computer vision—volume Part II, ACCV’10. Springer, Berlin, pp 374–383 Akihiro N, Fukui K (2011) Compound mutual subspace method for 3d object recognition: a theoretical extension of mutual subspace method. In: Proceedings of the 2010 international conference on computer vision—volume Part II, ACCV’10. Springer, Berlin, pp 374–383
6.
Zurück zum Zitat Albarelli A, Rodolà E, Bergamasco F, Torsello A (2011) A non-cooperative game for 3d object recognition in cluttered scenes. In: 2011 International conference on 3D imaging, modeling, processing, visualization and transmission, pp 252–259 Albarelli A, Rodolà E, Bergamasco F, Torsello A (2011) A non-cooperative game for 3d object recognition in cluttered scenes. In: 2011 International conference on 3D imaging, modeling, processing, visualization and transmission, pp 252–259
7.
Zurück zum Zitat Albarelli A, Rodolà E, Torsello A (2010) A game-theoretic approach to fine surface registration without initial motion estimation. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp 430–437 Albarelli A, Rodolà E, Torsello A (2010) A game-theoretic approach to fine surface registration without initial motion estimation. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp 430–437
8.
Zurück zum Zitat Aldoma A, Tombari F, Di Stefano L, Vincze M (2012) A global hypotheses verification method for 3d object recognition. In: Proceedings of the 12th European conference on computer vision—volume part III, ECCV’12. Springer, Berlin, pp 511–524 Aldoma A, Tombari F, Di Stefano L, Vincze M (2012) A global hypotheses verification method for 3d object recognition. In: Proceedings of the 12th European conference on computer vision—volume part III, ECCV’12. Springer, Berlin, pp 511–524
9.
Zurück zum Zitat Aldoma A, Tombari F, Prankl J, Richtsfeld A, Stefano LD, Vincze M (2013) Multimodal cue integration through hypotheses verification for rgb-d object recognition and 6dof pose estimation. In: 2013 IEEE international conference on robotics and automation, pp 2104–2111 Aldoma A, Tombari F, Prankl J, Richtsfeld A, Stefano LD, Vincze M (2013) Multimodal cue integration through hypotheses verification for rgb-d object recognition and 6dof pose estimation. In: 2013 IEEE international conference on robotics and automation, pp 2104–2111
10.
Zurück zum Zitat Aldoma A, Tombari F, Stefano LD, Vincze M (2016) A global hypothesis verification framework for 3d object recognition in clutter. IEEE Trans Pattern Anal Mach Intell 38(7):1383–1396CrossRef Aldoma A, Tombari F, Stefano LD, Vincze M (2016) A global hypothesis verification framework for 3d object recognition in clutter. IEEE Trans Pattern Anal Mach Intell 38(7):1383–1396CrossRef
11.
Zurück zum Zitat Anand S, Kirmani A, Shrivastava S, Chaudhury S, Bhaumik B (2006) A microscopic framework for distributed object-recognition pose-estimation. In: 2006 9th International conference on control, automation, robotics and vision, pp 1–6 Anand S, Kirmani A, Shrivastava S, Chaudhury S, Bhaumik B (2006) A microscopic framework for distributed object-recognition pose-estimation. In: 2006 9th International conference on control, automation, robotics and vision, pp 1–6
12.
Zurück zum Zitat Aouada D, Feng S, Krim H (2007) Statistical analysis of the global geodesic function for 3d object classification. In: 2007 IEEE international conference on acoustics, speech and signal processing—ICASSP ’07, vol 1, pp I-645–I-648 Aouada D, Feng S, Krim H (2007) Statistical analysis of the global geodesic function for 3d object classification. In: 2007 IEEE international conference on acoustics, speech and signal processing—ICASSP ’07, vol 1, pp I-645–I-648
13.
Zurück zum Zitat Aouada D, Krim H (2009) Meaningful 3d shape partitioning using morse functions. In: 2009 16th IEEE international conference on image processing (ICIP), pp 417–420 Aouada D, Krim H (2009) Meaningful 3d shape partitioning using morse functions. In: 2009 16th IEEE international conference on image processing (ICIP), pp 417–420
14.
Zurück zum Zitat Aouat S, Laiche N, Souami F, Larabi S (2008) 3D object indexing and recognition. Appl Math Comput 196(1):318–332MathSciNetMATH Aouat S, Laiche N, Souami F, Larabi S (2008) 3D object indexing and recognition. Appl Math Comput 196(1):318–332MathSciNetMATH
15.
Zurück zum Zitat Arana-Daniel N, Bayro-Corrochano E (2006) Mimo svms for 3d object classification. In: The 2006 IEEE international joint conference on neural network proceedings, pp 1628–1635 Arana-Daniel N, Bayro-Corrochano E (2006) Mimo svms for 3d object classification. In: The 2006 IEEE international joint conference on neural network proceedings, pp 1628–1635
16.
Zurück zum Zitat Arnaud E, Odone F, Verri A (2006) Trains of keypoints for 3d object recognition. In: Proceedings of the 18th international conference on pattern recognition—volume 02, ICPR ’06. IEEE Computer Society, Washington, DC, pp 1014–1017 Arnaud E, Odone F, Verri A (2006) Trains of keypoints for 3d object recognition. In: Proceedings of the 18th international conference on pattern recognition—volume 02, ICPR ’06. IEEE Computer Society, Washington, DC, pp 1014–1017
17.
Zurück zum Zitat Assfalg J, Bertini M, Bimbo AD, Pala P (2007) Content-based retrieval of 3-d objects using spin image signatures. IEEE Trans Multimed 9(3):589–599CrossRef Assfalg J, Bertini M, Bimbo AD, Pala P (2007) Content-based retrieval of 3-d objects using spin image signatures. IEEE Trans Multimed 9(3):589–599CrossRef
18.
Zurück zum Zitat Assfalg J, Borgwardt KM, Kriegel HP (2006) 3dstring: A feature string kernel for 3d object classification on voxelized data. In: Proceedings of the 15th ACM international conference on information and knowledge management, CIKM ’06. ACM, New York, NY, pp 198–207 Assfalg J, Borgwardt KM, Kriegel HP (2006) 3dstring: A feature string kernel for 3d object classification on voxelized data. In: Proceedings of the 15th ACM international conference on information and knowledge management, CIKM ’06. ACM, New York, NY, pp 198–207
19.
Zurück zum Zitat Atmosukarto I, Shapiro LG (2008) A learning approach to 3d object representation for classification. In: Proceedings of the 2008 joint IAPR international workshop on structural, syntactic, and statistical pattern recognition, SSPR & SPR ’08. Springer, Berlin, pp 267–276 Atmosukarto I, Shapiro LG (2008) A learning approach to 3d object representation for classification. In: Proceedings of the 2008 joint IAPR international workshop on structural, syntactic, and statistical pattern recognition, SSPR & SPR ’08. Springer, Berlin, pp 267–276
20.
Zurück zum Zitat Atmosukarto I, Wilamowska K, Heike C, Shapiro LG (2010) 3D object classification using salient point patterns with application to craniofacial research. Pattern Recognit 43(4):1502–1517CrossRef Atmosukarto I, Wilamowska K, Heike C, Shapiro LG (2010) 3D object classification using salient point patterns with application to craniofacial research. Pattern Recognit 43(4):1502–1517CrossRef
21.
Zurück zum Zitat Ayoub J, Granado B, Romain O, Mhanna Y (2010) 3-d object recognition based on svm and stereo-vision: application in endoscopic imaging. In: 2010 International conference of soft computing and pattern recognition, pp 198–201 Ayoub J, Granado B, Romain O, Mhanna Y (2010) 3-d object recognition based on svm and stereo-vision: application in endoscopic imaging. In: 2010 International conference of soft computing and pattern recognition, pp 198–201
22.
Zurück zum Zitat Ballard D (1981) Generalizing the hough transform to detect arbitrary shapes. Pattern Recognit 13(2):111–122MATHCrossRef Ballard D (1981) Generalizing the hough transform to detect arbitrary shapes. Pattern Recognit 13(2):111–122MATHCrossRef
23.
Zurück zum Zitat Bariya P, Nishino K (2010) Scale-hierarchical 3d object recognition in cluttered scenes. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp 1657–1664 Bariya P, Nishino K (2010) Scale-hierarchical 3d object recognition in cluttered scenes. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp 1657–1664
24.
Zurück zum Zitat Bariya P, Novatnack J, Schwartz G, Nishino K (2012) 3D geometric scale variability in range images: features and descriptors. Int J Comput Vis 99(2):232–255MathSciNetCrossRef Bariya P, Novatnack J, Schwartz G, Nishino K (2012) 3D geometric scale variability in range images: features and descriptors. Int J Comput Vis 99(2):232–255MathSciNetCrossRef
25.
Zurück zum Zitat Bedkowski J, Majek K, Majek P, Musialik P, Pelka M, Nüchter A (2016) Intelligent mobile system for improving spatial design support and security inside buildings. Mob Netw Appl 21(2):313–326CrossRef Bedkowski J, Majek K, Majek P, Musialik P, Pelka M, Nüchter A (2016) Intelligent mobile system for improving spatial design support and security inside buildings. Mob Netw Appl 21(2):313–326CrossRef
26.
Zurück zum Zitat Beksi WJ, Papanikolopoulos N (2015) Object classification using dictionary learning and rgb-d covariance descriptors. In: 2015 IEEE international conference on robotics and automation (ICRA), pp 1880–1885 Beksi WJ, Papanikolopoulos N (2015) Object classification using dictionary learning and rgb-d covariance descriptors. In: 2015 IEEE international conference on robotics and automation (ICRA), pp 1880–1885
27.
Zurück zum Zitat Ben-Yaacov H, Malah D, Barzohar M (2010) Recognition of 3d objects based on implicit polynomials. IEEE Trans Pattern Anal Mach Intell 32(5):954–960CrossRef Ben-Yaacov H, Malah D, Barzohar M (2010) Recognition of 3d objects based on implicit polynomials. IEEE Trans Pattern Anal Mach Intell 32(5):954–960CrossRef
28.
Zurück zum Zitat Bencharef O, Fakir M, Minaoui B, Hajraoui A, Oujaoura M (2012) Color objects recognition system based on artificial neural network with zernike, hu amp; geodesic descriptors. In: 2012 6th International conference on sciences of electronics, technologies of information and telecommunications (SETIT), pp 338–343 Bencharef O, Fakir M, Minaoui B, Hajraoui A, Oujaoura M (2012) Color objects recognition system based on artificial neural network with zernike, hu amp; geodesic descriptors. In: 2012 6th International conference on sciences of electronics, technologies of information and telecommunications (SETIT), pp 338–343
29.
Zurück zum Zitat Bennamoun M, Sohel FA, Guo Y, Lu M, Wan J (2013) 3d free form object recognition using rotational projection statistics. In: Proceedings of the 2013 IEEE workshop on applications of computer vision (WACV), WACV ’13, pp 1–8. IEEE Computer Society, Washington, DC, USA Bennamoun M, Sohel FA, Guo Y, Lu M, Wan J (2013) 3d free form object recognition using rotational projection statistics. In: Proceedings of the 2013 IEEE workshop on applications of computer vision (WACV), WACV ’13, pp 1–8. IEEE Computer Society, Washington, DC, USA
30.
Zurück zum Zitat Bonev B, Escolano F, Giorgi D, Biasotti S (2010) High-dimensional spectral feature selection for 3d object recognition based on reeb graphs. In: Proceedings of the 2010 Joint IAPR international conference on structural, syntactic, and statistical pattern recognition. Springer, Berlin, pp 119–128 Bonev B, Escolano F, Giorgi D, Biasotti S (2010) High-dimensional spectral feature selection for 3d object recognition based on reeb graphs. In: Proceedings of the 2010 Joint IAPR international conference on structural, syntactic, and statistical pattern recognition. Springer, Berlin, pp 119–128
31.
Zurück zum Zitat Bonev B, Escolano F, Giorgi D, Biasotti S (2010) Information-theoretic feature selection from unattributed graphs. In: Proceedings of the 2010 20th international conference on pattern recognition, ICPR ’10, pp 930–933. IEEE Computer Society, Washington, DC, USA Bonev B, Escolano F, Giorgi D, Biasotti S (2010) Information-theoretic feature selection from unattributed graphs. In: Proceedings of the 2010 20th international conference on pattern recognition, ICPR ’10, pp 930–933. IEEE Computer Society, Washington, DC, USA
32.
Zurück zum Zitat Bongale P, Ranjan A, Anand S (2012) Implementation of 3d object recognition and tracking. In: 2012 international conference on recent advances in computing and software systems, pp 77–79 Bongale P, Ranjan A, Anand S (2012) Implementation of 3d object recognition and tracking. In: 2012 international conference on recent advances in computing and software systems, pp 77–79
33.
Zurück zum Zitat Bouguila N (2012) Infinite liouville mixture models with application to text and texture categorization. Pattern Recognit Lett 33(2):103–110CrossRef Bouguila N (2012) Infinite liouville mixture models with application to text and texture categorization. Pattern Recognit Lett 33(2):103–110CrossRef
34.
Zurück zum Zitat Bovee C, Thill J (2015) Business communication essentials: a skills-based approach. Pearson Education, London Bovee C, Thill J (2015) Business communication essentials: a skills-based approach. Pearson Education, London
35.
Zurück zum Zitat Brandão S, Veloso M, Costeira JP (2014) Multiple hypothesis for object class disambiguation from multiple observations. In: 2014 2nd International conference on 3D vision, vol 1, pp 91–98 Brandão S, Veloso M, Costeira JP (2014) Multiple hypothesis for object class disambiguation from multiple observations. In: 2014 2nd International conference on 3D vision, vol 1, pp 91–98
36.
Zurück zum Zitat Brujic D, Ainsworth I, Ristic M (2011) Fast and accurate nurbs fitting for reverse engineering. Int J Adv Manuf Technol 54(5):691–700CrossRef Brujic D, Ainsworth I, Ristic M (2011) Fast and accurate nurbs fitting for reverse engineering. Int J Adv Manuf Technol 54(5):691–700CrossRef
38.
Zurück zum Zitat Carreira J, Sminchisescu C (2012) Cpmc: automatic object segmentation using constrained parametric min-cuts. IEEE Trans Pattern Anal Mach Intell 34(7):1312–1328CrossRef Carreira J, Sminchisescu C (2012) Cpmc: automatic object segmentation using constrained parametric min-cuts. IEEE Trans Pattern Anal Mach Intell 34(7):1312–1328CrossRef
39.
Zurück zum Zitat Carrer L, Yarovoy AG (2014) Concealed weapon detection using uwb 3-d radar imaging and automatic target recognition. In: The 8th European conference on antennas and propagation (EuCAP 2014), pp 2786–2790 Carrer L, Yarovoy AG (2014) Concealed weapon detection using uwb 3-d radar imaging and automatic target recognition. In: The 8th European conference on antennas and propagation (EuCAP 2014), pp 2786–2790
40.
Zurück zum Zitat Carvalho L, von Wangenheim A (2017) Literature review for 3D object classification/recognition. Tech. rep., Technical Report INCoD/LAPIX.01.2017.E.v01 Carvalho L, von Wangenheim A (2017) Literature review for 3D object classification/recognition. Tech. rep., Technical Report INCoD/LAPIX.01.2017.E.v01
41.
Zurück zum Zitat Chen F, Ji R, Cao L (2016) Multimodal learning for view-based 3d object classification. Neurocomputing 195:23–29 (learning for medical imaging) CrossRef Chen F, Ji R, Cao L (2016) Multimodal learning for view-based 3d object classification. Neurocomputing 195:23–29 (learning for medical imaging) CrossRef
42.
Zurück zum Zitat Chen H, Bhanu B (2007) 3D free-form object recognition in range images using local surface patches. Pattern Recognit Lett 28(10):1252–1262CrossRef Chen H, Bhanu B (2007) 3D free-form object recognition in range images using local surface patches. Pattern Recognit Lett 28(10):1252–1262CrossRef
43.
Zurück zum Zitat Chen H, Bhanu B (2009) Efficient recognition of highly similar 3d objects in range images. IEEE Trans Pattern Anal Mach Intell 31(1):172–179CrossRef Chen H, Bhanu B (2009) Efficient recognition of highly similar 3d objects in range images. IEEE Trans Pattern Anal Mach Intell 31(1):172–179CrossRef
44.
Zurück zum Zitat Chen LC, Nguyen XL, Lin ST (2012) Automatic object detection employing viewing angle histogram for range images. In: 2012 IEEE/ASME international conference on advanced intelligent mechatronics (AIM), pp 196–201 Chen LC, Nguyen XL, Lin ST (2012) Automatic object detection employing viewing angle histogram for range images. In: 2012 IEEE/ASME international conference on advanced intelligent mechatronics (AIM), pp 196–201
45.
Zurück zum Zitat Chen YC, Patel VM, Chellappa R, Phillips PJ (2015) Salient views and view-dependent dictionaries for object recognition. Pattern Recognit 48(10):3053–3066CrossRef Chen YC, Patel VM, Chellappa R, Phillips PJ (2015) Salient views and view-dependent dictionaries for object recognition. Pattern Recognit 48(10):3053–3066CrossRef
46.
Zurück zum Zitat Chen Z, Zhao R, Zhang Y (2006) Geometric hashing using 3d aspects and constrained structures. In: 2006 8th International conference on signal processing, vol. 2 Chen Z, Zhao R, Zhang Y (2006) Geometric hashing using 3d aspects and constrained structures. In: 2006 8th International conference on signal processing, vol. 2
47.
Zurück zum Zitat Choi KS, Kim DH (2013) Angular-partitioned spin image descriptor for robust 3d facial landmark detection. Electron Lett 49(23):1454–1455CrossRef Choi KS, Kim DH (2013) Angular-partitioned spin image descriptor for robust 3d facial landmark detection. Electron Lett 49(23):1454–1455CrossRef
49.
Zurück zum Zitat Collaboration C (2003) Cochrane Reviewers’ Handbook. Version 4.2.1. National Health and Medical Research Council Collaboration C (2003) Cochrane Reviewers’ Handbook. Version 4.2.1. National Health and Medical Research Council
50.
Zurück zum Zitat Curless B, Levoy M (1996) A volumetric method for building complex models from range images. In: Proceedings of the 23rd annual conference on computer graphics and interactive techniques, SIGGRAPH ’96. ACM, New York, NY, pp 303–312 Curless B, Levoy M (1996) A volumetric method for building complex models from range images. In: Proceedings of the 23rd annual conference on computer graphics and interactive techniques, SIGGRAPH ’96. ACM, New York, NY, pp 303–312
51.
Zurück zum Zitat Daley DJ, Vere-Jones D (2008) An introduction to the theory of point processes, probability and its applications (New York), vol II, 2nd edn. Springer, New YorkMATHCrossRef Daley DJ, Vere-Jones D (2008) An introduction to the theory of point processes, probability and its applications (New York), vol II, 2nd edn. Springer, New YorkMATHCrossRef
52.
Zurück zum Zitat Decker P, Thierfelder S, Paulus D, Grzegorzek M (2011) Dense statistic versus sparse feature-based approach for 3d object recognition. Pattern Recognit Image Anal 21(2):238–241CrossRef Decker P, Thierfelder S, Paulus D, Grzegorzek M (2011) Dense statistic versus sparse feature-based approach for 3d object recognition. Pattern Recognit Image Anal 21(2):238–241CrossRef
53.
Zurück zum Zitat Deinzer F, Denzler J, Derichs C, Niemann H (2006) Aspects of optimal viewpoint selection and viewpoint fusion. In: Proceedings of the 7th Asian conference on computer vision—volume part II, ACCV’06, pp 902–912. Springer, Berlin Deinzer F, Denzler J, Derichs C, Niemann H (2006) Aspects of optimal viewpoint selection and viewpoint fusion. In: Proceedings of the 7th Asian conference on computer vision—volume part II, ACCV’06, pp 902–912. Springer, Berlin
54.
Zurück zum Zitat Delponte E, Arnaud E, Odone F, Verri A (2006) Analysis on a local approach to 3d object recognition. In: Proceedings of the 28th conference on pattern recognition, DAGM’06. Springer, Berlin, pp 253–262 Delponte E, Arnaud E, Odone F, Verri A (2006) Analysis on a local approach to 3d object recognition. In: Proceedings of the 28th conference on pattern recognition, DAGM’06. Springer, Berlin, pp 253–262
55.
Zurück zum Zitat Delponte E, Noceti N, Odone F, Verri A (2007) Appearance-based 3d object recognition with time-invariant features. In: 14th International conference on image analysis and processing (ICIAP 2007), pp 467–474 Delponte E, Noceti N, Odone F, Verri A (2007) Appearance-based 3d object recognition with time-invariant features. In: 14th International conference on image analysis and processing (ICIAP 2007), pp 467–474
56.
Zurück zum Zitat Dimov D, Zlateva N, Marinov A (2009) Cbir over multiple projections of 3d objects. In: Proceedings of the 2009 Joint COST 2101 and 2102 international conference on biometric ID management and multimodal communication. Springer, Berlin, pp 146–153 Dimov D, Zlateva N, Marinov A (2009) Cbir over multiple projections of 3d objects. In: Proceedings of the 2009 Joint COST 2101 and 2102 international conference on biometric ID management and multimodal communication. Springer, Berlin, pp 146–153
57.
Zurück zum Zitat Ding H, Li X, Zhao H, Xiao W (2012) A new generalized affine moment invariants for shape retrieval and object recognition. In: 2012 8th IEEE international symposium on instrumentation and control technology (ISICT) proceedings, pp 137–142 Ding H, Li X, Zhao H, Xiao W (2012) A new generalized affine moment invariants for shape retrieval and object recognition. In: 2012 8th IEEE international symposium on instrumentation and control technology (ISICT) proceedings, pp 137–142
58.
Zurück zum Zitat Do CM, Javidi B (2009) Three-dimensional object recognition with multiview photon-counting sensing and imaging. IEEE Photonics J 1(1):9–20CrossRef Do CM, Javidi B (2009) Three-dimensional object recognition with multiview photon-counting sensing and imaging. IEEE Photonics J 1(1):9–20CrossRef
59.
Zurück zum Zitat Drost B, Ulrich M, Navab N, Ilic S (2010) Model globally, match locally: Efficient and robust 3d object recognition. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp 998–1005 Drost B, Ulrich M, Navab N, Ilic S (2010) Model globally, match locally: Efficient and robust 3d object recognition. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp 998–1005
60.
Zurück zum Zitat Drummond T, Cipolla R (2002) Real-time visual tracking of complex structures. IEEE Trans Pattern Anal Mach Intell 24(7):932–946CrossRef Drummond T, Cipolla R (2002) Real-time visual tracking of complex structures. IEEE Trans Pattern Anal Mach Intell 24(7):932–946CrossRef
61.
Zurück zum Zitat Šeatović D, Kutterer H, Anken T (2010) Automatic weed detection and treatment in grasslands. In: Proceedings ELMAR-2010, pp 65–68 Šeatović D, Kutterer H, Anken T (2010) Automatic weed detection and treatment in grasslands. In: Proceedings ELMAR-2010, pp 65–68
62.
Zurück zum Zitat Efremova N, Asakura N, Inui T, Abdikeev N (2011) Inferotemporal network model for 3d object recognition. In: The 2011 IEEE/ICME international conference on complex medical engineering, pp 555–560 Efremova N, Asakura N, Inui T, Abdikeev N (2011) Inferotemporal network model for 3d object recognition. In: The 2011 IEEE/ICME international conference on complex medical engineering, pp 555–560
63.
Zurück zum Zitat Efremova NA, Inui T (2014) An inferior temporal cortex model for object recognition and classification. Sci Tech Inf Process 41(6):362–369CrossRef Efremova NA, Inui T (2014) An inferior temporal cortex model for object recognition and classification. Sci Tech Inf Process 41(6):362–369CrossRef
64.
Zurück zum Zitat Ejima T, Enokida S, Kouno T, Ideguchi H, Horiuchi T (2014) 3D object recognition based on the reference point ensemble. In: 2014 International conference on computer vision theory and applications (VISAPP), vol 3, pp 261–269 Ejima T, Enokida S, Kouno T, Ideguchi H, Horiuchi T (2014) 3D object recognition based on the reference point ensemble. In: 2014 International conference on computer vision theory and applications (VISAPP), vol 3, pp 261–269
65.
Zurück zum Zitat Ekekrantz J, Pronobis A, Folkesson J, Jensfelt P (2013) Adaptive iterative closest keypoint. In: 2013 European conference on mobile robots, pp 80–87 Ekekrantz J, Pronobis A, Folkesson J, Jensfelt P (2013) Adaptive iterative closest keypoint. In: 2013 European conference on mobile robots, pp 80–87
66.
Zurück zum Zitat Elons AS, Abull-ela M, Tolba M (2013) A proposed \(\{\text{ PCNN }\}\) features quality optimization technique for pose-invariant 3d arabic sign language recognition. Appl Soft Comput 13(4):1646–1660CrossRef Elons AS, Abull-ela M, Tolba M (2013) A proposed \(\{\text{ PCNN }\}\) features quality optimization technique for pose-invariant 3d arabic sign language recognition. Appl Soft Comput 13(4):1646–1660CrossRef
67.
Zurück zum Zitat Everingham M, Sivic J, Zisserman A (2006) Hello! my name is... buffy—automatic naming of characters in tv video. In: In BMVC Everingham M, Sivic J, Zisserman A (2006) Hello! my name is... buffy—automatic naming of characters in tv video. In: In BMVC
68.
Zurück zum Zitat Felzenszwalb PF, Girshick RB, McAllester D, Ramanan D (2010) Object detection with discriminatively trained part-based models. IEEE Trans Pattern Anal Mach Intell 32(9):1627–1645CrossRef Felzenszwalb PF, Girshick RB, McAllester D, Ramanan D (2010) Object detection with discriminatively trained part-based models. IEEE Trans Pattern Anal Mach Intell 32(9):1627–1645CrossRef
69.
Zurück zum Zitat de Figueiredo RP, Moreno P, Bernardino A (2015) Efficient pose estimation of rotationally symmetric objects. Neurocomputing 150:126–135CrossRef de Figueiredo RP, Moreno P, Bernardino A (2015) Efficient pose estimation of rotationally symmetric objects. Neurocomputing 150:126–135CrossRef
70.
Zurück zum Zitat Filipe S, Itti L, Alexandre LA (2015) Bik-bus: biologically motivated 3d keypoint based on bottom-up saliency. IEEE Trans Image Process 24(1):163–175MathSciNetMATHCrossRef Filipe S, Itti L, Alexandre LA (2015) Bik-bus: biologically motivated 3d keypoint based on bottom-up saliency. IEEE Trans Image Process 24(1):163–175MathSciNetMATHCrossRef
71.
Zurück zum Zitat Flitton G, Mouton A, Breckon TP (2015) Object classification in 3d baggage security computed tomography imagery using visual codebooks. Pattern Recognit 48(8):2489–2499CrossRef Flitton G, Mouton A, Breckon TP (2015) Object classification in 3d baggage security computed tomography imagery using visual codebooks. Pattern Recognit 48(8):2489–2499CrossRef
72.
Zurück zum Zitat Fritzke B (1994) A growing neural gas network learns topologies. In: Proceedings of the 7th international conference on neural information processing systems, NIPS’94, pp. 625–632. MIT Press, Cambridge, MA, USA Fritzke B (1994) A growing neural gas network learns topologies. In: Proceedings of the 7th international conference on neural information processing systems, NIPS’94, pp. 625–632. MIT Press, Cambridge, MA, USA
73.
Zurück zum Zitat Fukui K, Maki A (2015) Difference subspace and its generalization for subspace-based methods. IEEE Trans Pattern Anal Mach Intell 37(11):2164–2177CrossRef Fukui K, Maki A (2015) Difference subspace and its generalization for subspace-based methods. IEEE Trans Pattern Anal Mach Intell 37(11):2164–2177CrossRef
74.
Zurück zum Zitat Fukui K, Stenger B, Yamaguchi O (2006) A framework for 3d object recognition using the kernel constrained mutual subspace method. In: Proceedings of the 7th Asian conference on computer vision—volume part II, ACCV’06. Springer, Berlin, pp 315–324 Fukui K, Stenger B, Yamaguchi O (2006) A framework for 3d object recognition using the kernel constrained mutual subspace method. In: Proceedings of the 7th Asian conference on computer vision—volume part II, ACCV’06. Springer, Berlin, pp 315–324
75.
Zurück zum Zitat Fukui K, Yamaguchi O (2007) The kernel orthogonal mutual subspace method and its application to 3d object recognition. In: Proceedings of the 8th Asian conference on computer vision—volume part II, ACCV’07. Springer, Berlin, pp 467–476 Fukui K, Yamaguchi O (2007) The kernel orthogonal mutual subspace method and its application to 3d object recognition. In: Proceedings of the 8th Asian conference on computer vision—volume part II, ACCV’07. Springer, Berlin, pp 467–476
76.
Zurück zum Zitat Fäulhammer T, Zillich M, Vincze M (2015) Multi-view hypotheses transfer for enhanced object recognition in clutter. In: 2015 14th IAPR international conference on machine vision applications (MVA), pp 10–13 Fäulhammer T, Zillich M, Vincze M (2015) Multi-view hypotheses transfer for enhanced object recognition in clutter. In: 2015 14th IAPR international conference on machine vision applications (MVA), pp 10–13
77.
Zurück zum Zitat G, I.I., Prakash S (2016) False mapped feature removal in spin images based 3d ear recognition. In: 2016 3rd international conference on signal processing and integrated networks (SPIN), pp 620–623 G, I.I., Prakash S (2016) False mapped feature removal in spin images based 3d ear recognition. In: 2016 3rd international conference on signal processing and integrated networks (SPIN), pp 620–623
78.
Zurück zum Zitat Gafar MF, Hemayed EE (2010) Surface area distribution descriptor for object matching. J Adv Res 1(3):233–241CrossRef Gafar MF, Hemayed EE (2010) Surface area distribution descriptor for object matching. J Adv Res 1(3):233–241CrossRef
79.
Zurück zum Zitat Garstka J, Peters G (2015) Adaptive 3-d object classification with reinforcement learning. In: 2015 12th International conference on informatics in control, automation and robotics (ICINCO), vol 02, pp 381–385 Garstka J, Peters G (2015) Adaptive 3-d object classification with reinforcement learning. In: 2015 12th International conference on informatics in control, automation and robotics (ICINCO), vol 02, pp 381–385
80.
Zurück zum Zitat Geusebroek JM, Burghouts GJ, Smeulders AW (2005) The amsterdam library of object images. Int J Comput Vis 61(1):103–112CrossRef Geusebroek JM, Burghouts GJ, Smeulders AW (2005) The amsterdam library of object images. Int J Comput Vis 61(1):103–112CrossRef
81.
Zurück zum Zitat Gibbins D, Swierkowski L (2009) A comparison of terrain classification using local feature measurements of 3-dimensional colour point-cloud data. In: 2009 24th International conference image and vision computing New Zealand, pp 293–298 Gibbins D, Swierkowski L (2009) A comparison of terrain classification using local feature measurements of 3-dimensional colour point-cloud data. In: 2009 24th International conference image and vision computing New Zealand, pp 293–298
82.
Zurück zum Zitat Gomes RB, da Silva BMF, de Medeiros Rocha LK, Aroca RV, Velho LCPR, Gonçalves LMG (2013) Efficient 3d object recognition using foveated point clouds. Comput Gr 37(5):496–508CrossRef Gomes RB, da Silva BMF, de Medeiros Rocha LK, Aroca RV, Velho LCPR, Gonçalves LMG (2013) Efficient 3d object recognition using foveated point clouds. Comput Gr 37(5):496–508CrossRef
83.
Zurück zum Zitat González E, Adán A, Feliú V (2012) 2D shape representation and similarity measurement for 3d recognition problems: an experimental analysis. Pattern Recognit Lett 33(2):199–217CrossRef González E, Adán A, Feliú V (2012) 2D shape representation and similarity measurement for 3d recognition problems: an experimental analysis. Pattern Recognit Lett 33(2):199–217CrossRef
84.
Zurück zum Zitat González E, Adán A, Feliú V, Sánchez L (2008) Active object recognition based on fourier descriptors clustering. Pattern Recognit Lett 29(8):1060–1071CrossRef González E, Adán A, Feliú V, Sánchez L (2008) Active object recognition based on fourier descriptors clustering. Pattern Recognit Lett 29(8):1060–1071CrossRef
86.
Zurück zum Zitat Groover MP Jr, Zimmers EW Jr (1997) CAD/Cam: computer-aided design and manufacturing, 1st edn. Prentice Hall PTR, Upper Saddle River Groover MP Jr, Zimmers EW Jr (1997) CAD/Cam: computer-aided design and manufacturing, 1st edn. Prentice Hall PTR, Upper Saddle River
87.
Zurück zum Zitat Grzegorzek M, Izquierdo E (2007) Statistical 3d object classification and localization with context modeling. In: 2007 15th European signal processing conference, pp 1585–1589 Grzegorzek M, Izquierdo E (2007) Statistical 3d object classification and localization with context modeling. In: 2007 15th European signal processing conference, pp 1585–1589
88.
Zurück zum Zitat Guo Y, Bennamoun M, Sohel F, Lu M, Wan J (2014) 3D object recognition in cluttered scenes with local surface features: a survey. IEEE Trans Pattern Anal Mach Intell 36(11):2270–2287CrossRef Guo Y, Bennamoun M, Sohel F, Lu M, Wan J (2014) 3D object recognition in cluttered scenes with local surface features: a survey. IEEE Trans Pattern Anal Mach Intell 36(11):2270–2287CrossRef
89.
Zurück zum Zitat Guo Y, Bennamoun M, Sohel F, Lu M, Wan J, Kwok NM (2016) A comprehensive performance evaluation of 3d local feature descriptors. Int J Comput Vis 116(1):66–89MathSciNetCrossRef Guo Y, Bennamoun M, Sohel F, Lu M, Wan J, Kwok NM (2016) A comprehensive performance evaluation of 3d local feature descriptors. Int J Comput Vis 116(1):66–89MathSciNetCrossRef
90.
Zurück zum Zitat Guo Y, Sohel F, Bennamoun M, Wan J, Lu M (2014) An accurate and robust range image registration algorithm for 3d object modeling. IEEE Trans Multimed 16(5):1377–1390CrossRef Guo Y, Sohel F, Bennamoun M, Wan J, Lu M (2014) An accurate and robust range image registration algorithm for 3d object modeling. IEEE Trans Multimed 16(5):1377–1390CrossRef
91.
Zurück zum Zitat Guo Y, Sohel F, Bennamoun M, Wan J, Lu M (2015) A novel local surface feature for 3d object recognition under clutter and occlusion. Inform Sci 293:196–213CrossRef Guo Y, Sohel F, Bennamoun M, Wan J, Lu M (2015) A novel local surface feature for 3d object recognition under clutter and occlusion. Inform Sci 293:196–213CrossRef
92.
Zurück zum Zitat Guo Y, Sohel FA, Bennamoun M, Wan J, Lu M (2013) Integrating shape and color cues for textured 3d object recognition. In: 2013 IEEE 8th conference on industrial electronics and applications (ICIEA), pp 1614–1619 Guo Y, Sohel FA, Bennamoun M, Wan J, Lu M (2013) Integrating shape and color cues for textured 3d object recognition. In: 2013 IEEE 8th conference on industrial electronics and applications (ICIEA), pp 1614–1619
93.
Zurück zum Zitat Gupta S, Girshick R, Arbeláez P, Malik J (2014) Learning rich features from rgb-d images for object detection and segmentation. In: European conference on computer vision. Springer, pp 345–360 Gupta S, Girshick R, Arbeláez P, Malik J (2014) Learning rich features from rgb-d images for object detection and segmentation. In: European conference on computer vision. Springer, pp 345–360
94.
Zurück zum Zitat Gur Y, Johnson CR (2014) Generalized hardi invariants by method of tensor contraction. In: 2014 IEEE 11th international symposium on biomedical imaging (ISBI), pp 718–721 Gur Y, Johnson CR (2014) Generalized hardi invariants by method of tensor contraction. In: 2014 IEEE 11th international symposium on biomedical imaging (ISBI), pp 718–721
95.
Zurück zum Zitat Halmos P (1948) Finite dimensional vector spaces. Annals of mathematics studies. Princeton University Press, Princeton Halmos P (1948) Finite dimensional vector spaces. Annals of mathematics studies. Princeton University Press, Princeton
96.
Zurück zum Zitat Han P, Zhao G (2015) Cad-based 3d objects recognition in monocular images for mobile augmented reality. Comput Gr 50:36–46CrossRef Han P, Zhao G (2015) Cad-based 3d objects recognition in monocular images for mobile augmented reality. Comput Gr 50:36–46CrossRef
97.
Zurück zum Zitat Hanai R, Yamazaki K, Yaguchi H, Okada K, Inaba M (2011) Electric appliance parts classification using a measure combining the whole shape and local shape distribution similarities. In: Proceedings of the 2011 international conference on 3D imaging, modeling, processing, visualization and transmission, 3DIMPVT ’11. IEEE Computer Society, Washington, DC, pp 296–303 Hanai R, Yamazaki K, Yaguchi H, Okada K, Inaba M (2011) Electric appliance parts classification using a measure combining the whole shape and local shape distribution similarities. In: Proceedings of the 2011 international conference on 3D imaging, modeling, processing, visualization and transmission, 3DIMPVT ’11. IEEE Computer Society, Washington, DC, pp 296–303
98.
Zurück zum Zitat Harris C, Stephens M (1988) A combined corner and edge detector. In: Proceedings of the fourth Alvey vision conference, pp 147–151 Harris C, Stephens M (1988) A combined corner and edge detector. In: Proceedings of the fourth Alvey vision conference, pp 147–151
99.
Zurück zum Zitat Health N, (Australia) MRC, Staff N, (2000) How to review the evidence: systematic identification and review of the scientific literature. Handbook series on preparing clinical practice guidelines. National Health and Medical Research Council, Canberra Health N, (Australia) MRC, Staff N, (2000) How to review the evidence: systematic identification and review of the scientific literature. Handbook series on preparing clinical practice guidelines. National Health and Medical Research Council, Canberra
100.
Zurück zum Zitat Health N, (Australia) MRC, Staff N (2000) How to Use the Evidence: Assessment and Application of Scientific Evidence Handbook series on preparing clinical practice guidelines. National Health and Medical Research Council, Canberra Health N, (Australia) MRC, Staff N (2000) How to Use the Evidence: Assessment and Application of Scientific Evidence Handbook series on preparing clinical practice guidelines. National Health and Medical Research Council, Canberra
101.
Zurück zum Zitat Hejrati M, Ramanan D (2014) Analysis by synthesis: 3d object recognition by object reconstruction. In: 2014 IEEE conference on computer vision and pattern recognition, pp 2449–2456 Hejrati M, Ramanan D (2014) Analysis by synthesis: 3d object recognition by object reconstruction. In: 2014 IEEE conference on computer vision and pattern recognition, pp 2449–2456
102.
Zurück zum Zitat Himmelsbach M, Luettel T, Wuensche HJ (2009) Real-time object classification in 3d point clouds using point feature histograms. In: 2009 IEEE/RSJ international conference on intelligent robots and systems, pp 994–1000 Himmelsbach M, Luettel T, Wuensche HJ (2009) Real-time object classification in 3d point clouds using point feature histograms. In: 2009 IEEE/RSJ international conference on intelligent robots and systems, pp 994–1000
103.
Zurück zum Zitat Hinton GE, Sejnowski TJ (1983) Optimal perceptual inference. In: Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, New York, pp 448–453 Hinton GE, Sejnowski TJ (1983) Optimal perceptual inference. In: Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, New York, pp 448–453
104.
Zurück zum Zitat Ho HT, Gibbins D (2008) Multi-scale feature extraction for 3d models using local surface curvature. In: Proceedings of the 2008 digital image computing: techniques and applications, DICTA ’08. IEEE Computer Society, Washington, DC, pp 16–23 Ho HT, Gibbins D (2008) Multi-scale feature extraction for 3d models using local surface curvature. In: Proceedings of the 2008 digital image computing: techniques and applications, DICTA ’08. IEEE Computer Society, Washington, DC, pp 16–23
105.
Zurück zum Zitat Hoiem D, Savarese S (2011) Representations and techniques for 3D object recognition and scene interpretation, 1st edn. Morgan & Claypool Publishers, San Rafael Hoiem D, Savarese S (2011) Representations and techniques for 3D object recognition and scene interpretation, 1st edn. Morgan & Claypool Publishers, San Rafael
106.
Zurück zum Zitat Hong C, Yu J, You J, Chen X, Tao D (2015) Multi-view ensemble manifold regularization for 3d object recognition. Inform Sci 320:395–405MathSciNetCrossRef Hong C, Yu J, You J, Chen X, Tao D (2015) Multi-view ensemble manifold regularization for 3d object recognition. Inform Sci 320:395–405MathSciNetCrossRef
107.
Zurück zum Zitat Hotta K (2009) Pose independent object classification from small number of training samples based on kernel principal component analysis of local parts. Image Vis Comput 27(9):1240–1251CrossRef Hotta K (2009) Pose independent object classification from small number of training samples based on kernel principal component analysis of local parts. Image Vis Comput 27(9):1240–1251CrossRef
108.
Zurück zum Zitat Hsiao E, Collet A, Hebert M (2010) Making specific features less discriminative to improve point-based 3d object recognition. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp 2653–2660 Hsiao E, Collet A, Hebert M (2010) Making specific features less discriminative to improve point-based 3d object recognition. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp 2653–2660
109.
Zurück zum Zitat Hu M, Wei Z, Shao M, Zhang G (2015) 3-D object recognition via aspect graph aware 3-d object representation. IEEE Signal Process Lett 22(12):2359–2363CrossRef Hu M, Wei Z, Shao M, Zhang G (2015) 3-D object recognition via aspect graph aware 3-d object representation. IEEE Signal Process Lett 22(12):2359–2363CrossRef
110.
Zurück zum Zitat Ibrayev R, Jia YB (2012) Recognition of curved surfaces from one-dimensional tactile data. IEEE Trans Autom Sci Eng 9(3):613–621CrossRef Ibrayev R, Jia YB (2012) Recognition of curved surfaces from one-dimensional tactile data. IEEE Trans Autom Sci Eng 9(3):613–621CrossRef
111.
Zurück zum Zitat Igarashi Y, Fukui K (2011) 3d object recognition based on canonical angles between shape subspaces. In: Proceedings of the 10th Asian conference on computer vision—volume part IV, ACCV’10. Springer, Berlin, pp 580–591 Igarashi Y, Fukui K (2011) 3d object recognition based on canonical angles between shape subspaces. In: Proceedings of the 10th Asian conference on computer vision—volume part IV, ACCV’10. Springer, Berlin, pp 580–591
112.
Zurück zum Zitat Itti L, Koch C, Niebur E (1998) A model of saliency-based visual attention for rapid scene analysis. IEEE Trans Pattern Anal Mach Intell 20(11):1254–1259CrossRef Itti L, Koch C, Niebur E (1998) A model of saliency-based visual attention for rapid scene analysis. IEEE Trans Pattern Anal Mach Intell 20(11):1254–1259CrossRef
113.
Zurück zum Zitat Jang Y, Woo W (2012) Local feature descriptors for 3d object recognition in ubiquitous virtual reality. In: Proceedings of the 2012 international symposium on ubiquitous virtual reality, ISUVR ’12. IEEE Computer Society, Washington, DC, , pp 42–45 Jang Y, Woo W (2012) Local feature descriptors for 3d object recognition in ubiquitous virtual reality. In: Proceedings of the 2012 international symposium on ubiquitous virtual reality, ISUVR ’12. IEEE Computer Society, Washington, DC, , pp 42–45
114.
Zurück zum Zitat Jeong W, Lee S, Kim Y (2011) Statistical feature selection model for robust 3d object recognition. In: 2011 15th International conference on advanced robotics (ICAR), pp 402–408 Jeong W, Lee S, Kim Y (2011) Statistical feature selection model for robust 3d object recognition. In: 2011 15th International conference on advanced robotics (ICAR), pp 402–408
115.
Zurück zum Zitat Jing G, Mingquan Z, Chao L (2013) 3d object classification based on local keywords and hidden markov model. In: 2013 Fourth international conference on digital manufacturing automation, pp 1–4 Jing G, Mingquan Z, Chao L (2013) 3d object classification based on local keywords and hidden markov model. In: 2013 Fourth international conference on digital manufacturing automation, pp 1–4
116.
Zurück zum Zitat Johnson AE, Hebert M (1999) Using spin images for efficient object recognition in cluttered 3d scenes. IEEE Trans Pattern Anal Mach Intell 21(5):433–449CrossRef Johnson AE, Hebert M (1999) Using spin images for efficient object recognition in cluttered 3d scenes. IEEE Trans Pattern Anal Mach Intell 21(5):433–449CrossRef
117.
Zurück zum Zitat Kanezaki A, Harada T, Kuniyoshi Y (2010) Partial matching of real textured 3d objects using color cubic higher-order local auto-correlation features. Vis Comput 26(10):1269–1281CrossRef Kanezaki A, Harada T, Kuniyoshi Y (2010) Partial matching of real textured 3d objects using color cubic higher-order local auto-correlation features. Vis Comput 26(10):1269–1281CrossRef
118.
Zurück zum Zitat Kanezaki A, Nakayama H, Harada T, Kuniyoshi Y (2010) High-speed 3d object recognition using additive features in a linear subspace. In: 2010 IEEE international conference on robotics and automation, pp 3128–3134 Kanezaki A, Nakayama H, Harada T, Kuniyoshi Y (2010) High-speed 3d object recognition using additive features in a linear subspace. In: 2010 IEEE international conference on robotics and automation, pp 3128–3134
119.
Zurück zum Zitat Kao CH, Hsieh SP, Peng CC (2010) Study of feature-based image capturing and recognition algorithm. In: ICCAS 2010, pp 1855–1861 Kao CH, Hsieh SP, Peng CC (2010) Study of feature-based image capturing and recognition algorithm. In: ICCAS 2010, pp 1855–1861
120.
Zurück zum Zitat Kasaei SH, Oliveira M, Lim GH, Lopes LS, Tomé AM (2014) An interactive open-ended learning approach for 3d object recognition. In: 2014 IEEE international conference on autonomous robot systems and competitions (ICARSC), pp 47–52 Kasaei SH, Oliveira M, Lim GH, Lopes LS, Tomé AM (2014) An interactive open-ended learning approach for 3d object recognition. In: 2014 IEEE international conference on autonomous robot systems and competitions (ICARSC), pp 47–52
121.
Zurück zum Zitat Kasaei SH, Oliveira M, Lim GH, Seabra Lopes L, Tomé AM (2015) Interactive open-ended learning for 3d object recognition: an approach and experiments. J Intell Robot Syst 80(3–4):537–553CrossRef Kasaei SH, Oliveira M, Lim GH, Seabra Lopes L, Tomé AM (2015) Interactive open-ended learning for 3d object recognition: an approach and experiments. J Intell Robot Syst 80(3–4):537–553CrossRef
122.
Zurück zum Zitat Kasaei SH, Tomé AM, Lopes LS, Oliveira M (2016) Good: a global orthographic object descriptor for 3d object recognition and manipulation. Pattern Recognition Letters 83(part 3):312–320 (efficient shape representation, matching, ranking, and its applications) CrossRef Kasaei SH, Tomé AM, Lopes LS, Oliveira M (2016) Good: a global orthographic object descriptor for 3d object recognition and manipulation. Pattern Recognition Letters 83(part 3):312–320 (efficient shape representation, matching, ranking, and its applications) CrossRef
123.
Zurück zum Zitat Ke Y, Sukthankar R (2004) Pca-sift: a more distinctive representation for local image descriptors. In: Proceedings of the 2004 IEEE computer society conference on computer vision and pattern recognition, 2004. CVPR 2004, vol 2, pp II-506–II-513 vol 2 Ke Y, Sukthankar R (2004) Pca-sift: a more distinctive representation for local image descriptors. In: Proceedings of the 2004 IEEE computer society conference on computer vision and pattern recognition, 2004. CVPR 2004, vol 2, pp II-506–II-513 vol 2
124.
Zurück zum Zitat Keaikitse M, Govender N, Warrell J (2013) Comparison of active sift-based 3d object recognition algorithms. In: 2013 Africon, pp 1–5 Keaikitse M, Govender N, Warrell J (2013) Comparison of active sift-based 3d object recognition algorithms. In: 2013 Africon, pp 1–5
125.
Zurück zum Zitat Kechagias-Stamatis O, Aouf N (2016) Histogram of distances for local surface description. In: 2016 IEEE international conference on robotics and automation (ICRA), pp 2487–2493 Kechagias-Stamatis O, Aouf N (2016) Histogram of distances for local surface description. In: 2016 IEEE international conference on robotics and automation (ICRA), pp 2487–2493
126.
Zurück zum Zitat Kent D, Behrooz M, Chernova S (2014) Crowdsourcing the construction of a 3d object recognition database for robotic grasping. In: 2014 IEEE international conference on robotics and automation (ICRA), pp 4526–4531 Kent D, Behrooz M, Chernova S (2014) Crowdsourcing the construction of a 3d object recognition database for robotic grasping. In: 2014 IEEE international conference on robotics and automation (ICRA), pp 4526–4531
127.
Zurück zum Zitat Khatun A, Chai WY, Iskandar DA, Islam MR (2011) The effectiveness of ellipsoidal shape representation technique for 3d object recognition system. In: 2011 7th international conference on information technology in Asia, pp 1–6 Khatun A, Chai WY, Iskandar DA, Islam MR (2011) The effectiveness of ellipsoidal shape representation technique for 3d object recognition system. In: 2011 7th international conference on information technology in Asia, pp 1–6
128.
Zurück zum Zitat Khatun A, Wang YC, Islam MR, Iskandar DA (2010) 3d shape recognition using wavelet transform based on ellipsoid. In: 2010 International conference on intelligent and advanced systems, pp 1–6 Khatun A, Wang YC, Islam MR, Iskandar DA (2010) 3d shape recognition using wavelet transform based on ellipsoid. In: 2010 International conference on intelligent and advanced systems, pp 1–6
129.
Zurück zum Zitat Kietzmann TC, Lange S, Riedmiller M (2008) Incremental grlvq: learning relevant features for 3d object recognition. Neurocomputing 71(13–15):2868–2879 (artificial neural networks (ICANN 2006)/engineering of intelligent systems (ICEIS 2006)) CrossRef Kietzmann TC, Lange S, Riedmiller M (2008) Incremental grlvq: learning relevant features for 3d object recognition. Neurocomputing 71(13–15):2868–2879 (artificial neural networks (ICANN 2006)/engineering of intelligent systems (ICEIS 2006)) CrossRef
130.
Zurück zum Zitat Kim Bs, Xu S, Savarese S (2013) Accurate localization of 3d objects from rgb-d data using segmentation hypotheses. In: 2013 IEEE conference on computer vision and pattern recognition, pp 3182–3189 Kim Bs, Xu S, Savarese S (2013) Accurate localization of 3d objects from rgb-d data using segmentation hypotheses. In: 2013 IEEE conference on computer vision and pattern recognition, pp 3182–3189
131.
Zurück zum Zitat Kim E, Medioni G (2011) 3d object recognition in range images using visibility context. In: 2011 IEEE/RSJ international conference on intelligent robots and systems, pp 3800–3807 Kim E, Medioni G (2011) 3d object recognition in range images using visibility context. In: 2011 IEEE/RSJ international conference on intelligent robots and systems, pp 3800–3807
132.
Zurück zum Zitat Kim E, Medioni G (2011) Scalable object classification using range images. In: Proceedings of the 2011 international conference on 3D imaging, modeling, processing, visualization and transmission, 3DIMPVT ’11, pp 65–72. IEEE Computer Society, Washington, DC, USA Kim E, Medioni G (2011) Scalable object classification using range images. In: Proceedings of the 2011 international conference on 3D imaging, modeling, processing, visualization and transmission, 3DIMPVT ’11, pp 65–72. IEEE Computer Society, Washington, DC, USA
133.
Zurück zum Zitat Kim H, Lee J, Lee S (2009) Environment adaptive 3d object recognition and pose estimation by cognitive perception engine. In: Proceedings of the 8th IEEE international conference on computational intelligence in robotics and automation, CIRA’09. IEEE Press, Piscataway, pp 532–539 Kim H, Lee J, Lee S (2009) Environment adaptive 3d object recognition and pose estimation by cognitive perception engine. In: Proceedings of the 8th IEEE international conference on computational intelligence in robotics and automation, CIRA’09. IEEE Press, Piscataway, pp 532–539
134.
Zurück zum Zitat Kim S, Kweon IS (2006) Scalable representation and learning for 3d object recognition using shared feature-based view clustering. In: Proceedings of the 7th Asian conference on computer vision—volume part II, ACCV’06, pp 561–570. Springer, Berlin Kim S, Kweon IS (2006) Scalable representation and learning for 3d object recognition using shared feature-based view clustering. In: Proceedings of the 7th Asian conference on computer vision—volume part II, ACCV’06, pp 561–570. Springer, Berlin
135.
Zurück zum Zitat Kim S, Kweon IS (2007) Robust model-based scene interpretation by multilayered context information. Comput Vis Image Underst 105(3):167–187CrossRef Kim S, Kweon IS (2007) Robust model-based scene interpretation by multilayered context information. Comput Vis Image Underst 105(3):167–187CrossRef
136.
Zurück zum Zitat Kim S, Kweon IS (2008) Scalable representation for 3d object recognition using feature sharing and view clustering. Pattern Recognit 41(2):754–773MATHCrossRef Kim S, Kweon IS (2008) Scalable representation for 3d object recognition using feature sharing and view clustering. Pattern Recognit 41(2):754–773MATHCrossRef
137.
Zurück zum Zitat Kim S, Yoon KJ, Kweon IS (2008) Object recognition using a generalized robust invariant feature and gestalt’s law of proximity and similarity. Pattern Recognit 41(2):726–741MATHCrossRef Kim S, Yoon KJ, Kweon IS (2008) Object recognition using a generalized robust invariant feature and gestalt’s law of proximity and similarity. Pattern Recognit 41(2):726–741MATHCrossRef
138.
Zurück zum Zitat Kise K, Kashiwagi T (2011) 1.5 million subspaces of a local feature space for 3d object recognition. In: The first Asian conference on pattern recognition, pp 672–676 Kise K, Kashiwagi T (2011) 1.5 million subspaces of a local feature space for 3d object recognition. In: The first Asian conference on pattern recognition, pp 672–676
139.
Zurück zum Zitat Kitaaki Y, Okuda H, Kage H, Sumi K (2008) High speed 3-d registration using gpu. In: 2008 SICE annual conference, pp 3055–3059 Kitaaki Y, Okuda H, Kage H, Sumi K (2008) High speed 3-d registration using gpu. In: 2008 SICE annual conference, pp 3055–3059
140.
Zurück zum Zitat Kitchenham B (2004) Procedures for performing systematic reviews. Tech. rep., joint technical report TR/SE-0401 Kitchenham B (2004) Procedures for performing systematic reviews. Tech. rep., joint technical report TR/SE-0401
141.
Zurück zum Zitat Knopp J, Prasad M, Van Gool L (2010) Orientation invariant 3d object classification using hough transform based methods. In: Proceedings of the ACM workshop on 3D object retrieval, 3DOR ’10. ACM, New York, pp 15–20 Knopp J, Prasad M, Van Gool L (2010) Orientation invariant 3d object classification using hough transform based methods. In: Proceedings of the ACM workshop on 3D object retrieval, 3DOR ’10. ACM, New York, pp 15–20
142.
Zurück zum Zitat Kobayashi T (2013) Generalized mutual subspace based methods for image set classification. In: Proceedings of the 11th Asian conference on computer vision—volume part I, ACCV’12, pp 578–592. Springer, Berlin Kobayashi T (2013) Generalized mutual subspace based methods for image set classification. In: Proceedings of the 11th Asian conference on computer vision—volume part I, ACCV’12, pp 578–592. Springer, Berlin
143.
Zurück zum Zitat Kootstra G, Ypma J, de Boer B (2007) Exploring objects for recognition in the real word. In: 2007 IEEE international conference on robotics and biomimetics (ROBIO), pp 429–434 Kootstra G, Ypma J, de Boer B (2007) Exploring objects for recognition in the real word. In: 2007 IEEE international conference on robotics and biomimetics (ROBIO), pp 429–434
144.
Zurück zum Zitat Kordelas G, Daras P (2007) Recognizing 3d objects using ray-triangle intersection distances. In: 2007 IEEE international conference on image processing, vol 6, pp VI-173–VI-176 Kordelas G, Daras P (2007) Recognizing 3d objects using ray-triangle intersection distances. In: 2007 IEEE international conference on image processing, vol 6, pp VI-173–VI-176
145.
Zurück zum Zitat Kordelas G, Daras P (2010) Viewpoint independent object recognition in cluttered scenes exploiting ray-triangle intersection and \(\{\text{ SIFT }\}\) algorithms. Pattern Recognit 43(11):3833–3845MATHCrossRef Kordelas G, Daras P (2010) Viewpoint independent object recognition in cluttered scenes exploiting ray-triangle intersection and \(\{\text{ SIFT }\}\) algorithms. Pattern Recognit 43(11):3833–3845MATHCrossRef
146.
Zurück zum Zitat Kounalakis T, Boulgouris NV, Triantafyllidis GA (2016) Content-adaptive pyramid representation for 3d object classification. In: 2016 IEEE international conference on image processing (ICIP), pp 231–235 Kounalakis T, Boulgouris NV, Triantafyllidis GA (2016) Content-adaptive pyramid representation for 3d object classification. In: 2016 IEEE international conference on image processing (ICIP), pp 231–235
147.
Zurück zum Zitat Kumar D, Nishchal NK (2015) Three-dimensional object recognition using joint fractional fourier transform correlators with the help of digital fresnel holography. Optik Int J Light Electron Opt 126(20):2690–2695CrossRef Kumar D, Nishchal NK (2015) Three-dimensional object recognition using joint fractional fourier transform correlators with the help of digital fresnel holography. Optik Int J Light Electron Opt 126(20):2690–2695CrossRef
148.
Zurück zum Zitat Kushal A, Ponce J (2006) Modeling 3d objects from stereo views and recognizing them in photographs. In: Proceedings of the 9th European conference on computer vision - volume part II, ECCV’06. Springer, Berlin, ,pp 563–574 Kushal A, Ponce J (2006) Modeling 3d objects from stereo views and recognizing them in photographs. In: Proceedings of the 9th European conference on computer vision - volume part II, ECCV’06. Springer, Berlin, ,pp 563–574
149.
Zurück zum Zitat Kushal A, Schmid C, Ponce J (2007) Flexible object models for category-level 3d object recognition. In: 2007 IEEE conference on computer vision and pattern recognition, pp 1–8 Kushal A, Schmid C, Ponce J (2007) Flexible object models for category-level 3d object recognition. In: 2007 IEEE conference on computer vision and pattern recognition, pp 1–8
150.
Zurück zum Zitat Laboratory RPIIP, Meagher D (1980) Octree encoding: a new technique for the representation, manipulation and display of arbitrary 3-d objects by computer. Stanford University, Stanford Laboratory RPIIP, Meagher D (1980) Octree encoding: a new technique for the representation, manipulation and display of arbitrary 3-d objects by computer. Stanford University, Stanford
151.
Zurück zum Zitat Lam J, Greenspan M (2013) 3d object recognition by surface registration of interest segments. In: Proceedings of the 2013 international conference on 3D Vision, 3DV ’13, pp 199–206. IEEE Computer Society, Washington, DC, USA Lam J, Greenspan M (2013) 3d object recognition by surface registration of interest segments. In: Proceedings of the 2013 international conference on 3D Vision, 3DV ’13, pp 199–206. IEEE Computer Society, Washington, DC, USA
152.
Zurück zum Zitat Lecun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278–2324CrossRef Lecun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278–2324CrossRef
153.
Zurück zum Zitat Lee BG, Liliana Shin DH (2010) Enhanced computational integral imaging system for partially occluded 3d objects using occlusion removal technique and recursive \(\{\text{ PCA }\}\) reconstruction. Opt Commun 283(10):2084–2091CrossRef Lee BG, Liliana Shin DH (2010) Enhanced computational integral imaging system for partially occluded 3d objects using occlusion removal technique and recursive \(\{\text{ PCA }\}\) reconstruction. Opt Commun 283(10):2084–2091CrossRef
154.
Zurück zum Zitat Lee S, Kim E, Park Y (2006) 3D object recognition using multiple features for robotic manipulation. In: Proceedings 2006 IEEE international conference on robotics and automation, 2006. ICRA 2006, pp 3768–3774 Lee S, Kim E, Park Y (2006) 3D object recognition using multiple features for robotic manipulation. In: Proceedings 2006 IEEE international conference on robotics and automation, 2006. ICRA 2006, pp 3768–3774
155.
Zurück zum Zitat Lee S, Lu Z (2011) Dependable 3d object recognition with two-layered particle filter. In: Proceedings of the 5th international conference on ubiquitous information management and communication, ICUIMC ’11. ACM, New York, NY, pp 37:1–37:8 Lee S, Lu Z (2011) Dependable 3d object recognition with two-layered particle filter. In: Proceedings of the 5th international conference on ubiquitous information management and communication, ICUIMC ’11. ACM, New York, NY, pp 37:1–37:8
156.
Zurück zum Zitat Lee S, Lu Z, Kim H (2011) Probabilistic 3d object recognition with both positive and negative evidences. In: Proceedings of the 2011 international conference on computer vision, ICCV ’11. IEEE Computer Society, Washington, DC, pp 2360–2367 Lee S, Lu Z, Kim H (2011) Probabilistic 3d object recognition with both positive and negative evidences. In: Proceedings of the 2011 international conference on computer vision, ICCV ’11. IEEE Computer Society, Washington, DC, pp 2360–2367
157.
Zurück zum Zitat Lee S, Wei L, Naguib AM (2016) Adaptive bayesian recognition and pose estimation of 3d industrial objects with optimal feature selection. In: 2016 IEEE international symposium on assembly and manufacturing (ISAM), pp 50–55 Lee S, Wei L, Naguib AM (2016) Adaptive bayesian recognition and pose estimation of 3d industrial objects with optimal feature selection. In: 2016 IEEE international symposium on assembly and manufacturing (ISAM), pp 50–55
158.
Zurück zum Zitat Lee SH, Cheng SC, Chang CC (2014) Moment-preserving techniques for 3d shape registration and recognition. In: 2014 International symposium on computer, consumer and control, pp 516–519 Lee SH, Cheng SC, Chang CC (2014) Moment-preserving techniques for 3d shape registration and recognition. In: 2014 International symposium on computer, consumer and control, pp 516–519
159.
Zurück zum Zitat Lee TK, Drew MS (2007) 3D object recognition by eigen-scale-space of contours. Springer, Berlin, pp 883–894 Lee TK, Drew MS (2007) 3D object recognition by eigen-scale-space of contours. Springer, Berlin, pp 883–894
160.
Zurück zum Zitat Leibe B, Schiele B (2003) Analyzing appearance and contour based methods for object categorization. In: Proceedings of 2003 IEEE computer society conference on computer vision and pattern recognition, 2003. vol 2, pp 409–415 Leibe B, Schiele B (2003) Analyzing appearance and contour based methods for object categorization. In: Proceedings of 2003 IEEE computer society conference on computer vision and pattern recognition, 2003. vol 2, pp 409–415
161.
Zurück zum Zitat Li C, Boheren J, Hager GD (2015) Bridging the robot perception gap with mid-level vision. In: International symposium on robotics research (ISRR) Li C, Boheren J, Hager GD (2015) Bridging the robot perception gap with mid-level vision. In: International symposium on robotics research (ISRR)
162.
Zurück zum Zitat Li C, Bohren J, Carlson E, Hager GD (2016) Hierarchical semantic parsing for object pose estimation in densely cluttered scenes. In: 2016 IEEE international conference on robotics and automation (ICRA), pp 5068–5075 Li C, Bohren J, Carlson E, Hager GD (2016) Hierarchical semantic parsing for object pose estimation in densely cluttered scenes. In: 2016 IEEE international conference on robotics and automation (ICRA), pp 5068–5075
163.
Zurück zum Zitat Li X, Godil A, Wagan A (2008) 3d part identification based on local shape descriptors. In: Proceedings of the 8th workshop on performance metrics for intelligent systems, PerMIS ’08. ACM, New York, pp 162–166 Li X, Godil A, Wagan A (2008) 3d part identification based on local shape descriptors. In: Proceedings of the 8th workshop on performance metrics for intelligent systems, PerMIS ’08. ACM, New York, pp 162–166
164.
Zurück zum Zitat Li X, Guskov I (2007) 3d object recognition from range images using pyramid matching. In: 2007 IEEE 11th international conference on computer vision, pp 1–6 Li X, Guskov I (2007) 3d object recognition from range images using pyramid matching. In: 2007 IEEE 11th international conference on computer vision, pp 1–6
165.
Zurück zum Zitat Liang D, Weng K, Wang C, Liang G, Chen H, Wu X (2014) A 3d object recognition and pose estimation system using deep learning method. In: 2014 4th IEEE international conference on information science and technology, pp 401–404 Liang D, Weng K, Wang C, Liang G, Chen H, Wu X (2014) A 3d object recognition and pose estimation system using deep learning method. In: 2014 4th IEEE international conference on information science and technology, pp 401–404
166.
Zurück zum Zitat Lin D, Fidler S, Urtasun R (2013) Holistic scene understanding for 3d object detection with rgbd cameras. In: Proceedings of the 2013 IEEE international conference on computer vision, ICCV ’13, pp 1417–1424. IEEE Computer Society, Washington, DC, USA Lin D, Fidler S, Urtasun R (2013) Holistic scene understanding for 3d object detection with rgbd cameras. In: Proceedings of the 2013 IEEE international conference on computer vision, ICCV ’13, pp 1417–1424. IEEE Computer Society, Washington, DC, USA
167.
Zurück zum Zitat Lin WY (2006) Robust geometrically invariant features for two-dimensional shape matching and three-dimensional face recognition. Ph.D. thesis, University of Wisconsin at Madison, Madison, WI, USA. AAI3234848 Lin WY (2006) Robust geometrically invariant features for two-dimensional shape matching and three-dimensional face recognition. Ph.D. thesis, University of Wisconsin at Madison, Madison, WI, USA. AAI3234848
168.
Zurück zum Zitat Lina: Recognition of 3d objects in various capturing conditions using appearance manifolds. In: 2010 the 2nd international conference on computer and automation engineering (ICCAE), vol 2, pp 349–352 (2010) Lina: Recognition of 3d objects in various capturing conditions using appearance manifolds. In: 2010 the 2nd international conference on computer and automation engineering (ICCAE), vol 2, pp 349–352 (2010)
169.
Zurück zum Zitat Takahashi T, Ide I, Murase H (2008) Construction of appearance manifold with embedded view-dependent covariance matrix for 3d object recognition. IEICE Trans Inf Syst 91(4):1091–1100 Takahashi T, Ide I, Murase H (2008) Construction of appearance manifold with embedded view-dependent covariance matrix for 3d object recognition. IEICE Trans Inf Syst 91(4):1091–1100
170.
Zurück zum Zitat Liu YJ, Fu QF, Liu Y, Fu XL (2012) 2d-line-drawing-based 3d object recognition. In: Proceedings of the first international conference on computational visual media, CVM’12. Springer, Berlin, pp 146–153 Liu YJ, Fu QF, Liu Y, Fu XL (2012) 2d-line-drawing-based 3d object recognition. In: Proceedings of the first international conference on computational visual media, CVM’12. Springer, Berlin, pp 146–153
171.
Zurück zum Zitat Logoglu KB, Kalkan S, Temizel A (2016) Cospair: colored histograms of spatial concentric surflet-pairs for 3d object recognition. Robot Auton Syst 75:558–570CrossRef Logoglu KB, Kalkan S, Temizel A (2016) Cospair: colored histograms of spatial concentric surflet-pairs for 3d object recognition. Robot Auton Syst 75:558–570CrossRef
172.
Zurück zum Zitat Loo CH, Elsherbeni AZ (2008) Optoelectronic 3-d object classification from 2-d images. J Lightw Technol 26(18):3248–3255CrossRef Loo CH, Elsherbeni AZ (2008) Optoelectronic 3-d object classification from 2-d images. J Lightw Technol 26(18):3248–3255CrossRef
173.
Zurück zum Zitat Lowe DG (1987) Three-dimensional object recognition from single two-dimensional images. Artif Intell 31(3):355–395CrossRef Lowe DG (1987) Three-dimensional object recognition from single two-dimensional images. Artif Intell 31(3):355–395CrossRef
174.
Zurück zum Zitat Lowe DG (1999) Object recognition from local scale-invariant features. In: Proceedings of the international conference on computer vision, vol 2, ICCV ’99. IEEE Computer Society, Washington, DC, p 1150 Lowe DG (1999) Object recognition from local scale-invariant features. In: Proceedings of the international conference on computer vision, vol 2, ICCV ’99. IEEE Computer Society, Washington, DC, p 1150
175.
Zurück zum Zitat Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91–110CrossRef Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91–110CrossRef
176.
Zurück zum Zitat Lu Z, Lee S, Kim H (2011) Probabilistic 3d object recognition based on multiple interpretations generation. In: Proceedings of the 10th Asian conference on computer vision—volume part IV, ACCV’10. Springer, Berlin, pp 333–346 Lu Z, Lee S, Kim H (2011) Probabilistic 3d object recognition based on multiple interpretations generation. In: Proceedings of the 10th Asian conference on computer vision—volume part IV, ACCV’10. Springer, Berlin, pp 333–346
177.
Zurück zum Zitat Luciw MD, Weng J (2008) Topographic class grouping with applications to 3d object recognition. In: 2008 IEEE international joint conference on neural networks (IEEE world congress on computational intelligence), pp 3987–3994 Luciw MD, Weng J (2008) Topographic class grouping with applications to 3d object recognition. In: 2008 IEEE international joint conference on neural networks (IEEE world congress on computational intelligence), pp 3987–3994
178.
Zurück zum Zitat Luo RC, Kuo CW (2015) A scalable modular architecture of 3d object acquisition for manufacturing automation. In: 2015 IEEE 13th international conference on industrial informatics (INDIN), pp 269–274 Luo RC, Kuo CW (2015) A scalable modular architecture of 3d object acquisition for manufacturing automation. In: 2015 IEEE 13th international conference on industrial informatics (INDIN), pp 269–274
179.
Zurück zum Zitat Luo RC, Kuo CW, Chung YT (2015) Model-based 3d object recognition and fetching by a 7-dof robot with online obstacle avoidance for factory automation. In: 2015 IEEE international conference on robotics and automation (ICRA), pp 2647–2652 Luo RC, Kuo CW, Chung YT (2015) Model-based 3d object recognition and fetching by a 7-dof robot with online obstacle avoidance for factory automation. In: 2015 IEEE international conference on robotics and automation (ICRA), pp 2647–2652
180.
Zurück zum Zitat Geetha M, Paul MP, Kaimal MR (2014) An improved content based image retrieval in rgbd images using point clouds. In: 2014 International conference on communication and signal processing, pp 828–832 Geetha M, Paul MP, Kaimal MR (2014) An improved content based image retrieval in rgbd images using point clouds. In: 2014 International conference on communication and signal processing, pp 828–832
181.
Zurück zum Zitat Ma H, Huang T, Wang Y (2010) Multi-resolution recognition of 3d objects based on visual resolution limits. Pattern Recognit Lett 31(3):259–266CrossRef Ma H, Huang T, Wang Y (2010) Multi-resolution recognition of 3d objects based on visual resolution limits. Pattern Recognit Lett 31(3):259–266CrossRef
182.
Zurück zum Zitat Ma S, Zhou C, Zhang L, Hong W, Tian Y (2013) 3d object recognition using kernel pca based on depth information for twist-lock grasping. In: 2013 ieee international conference on robotics and biomimetics (ROBIO), pp 2667–2672 Ma S, Zhou C, Zhang L, Hong W, Tian Y (2013) 3d object recognition using kernel pca based on depth information for twist-lock grasping. In: 2013 ieee international conference on robotics and biomimetics (ROBIO), pp 2667–2672
183.
Zurück zum Zitat Madi K, Paquet E, Seba H, Kheddouci H (2015) Graph edit distance based on triangle-stars decomposition for deformable 3d objects recognition. In: Proceedings of the 2015 international conference on 3D vision, 3DV ’15, pp 55–63. IEEE Computer Society, Washington, DC, USA Madi K, Paquet E, Seba H, Kheddouci H (2015) Graph edit distance based on triangle-stars decomposition for deformable 3d objects recognition. In: Proceedings of the 2015 international conference on 3D vision, 3DV ’15, pp 55–63. IEEE Computer Society, Washington, DC, USA
184.
Zurück zum Zitat Maeda M, Nakamae T, Inoue K (2012) Surface matching by curvature distribution images generated via gaze modeling. In: Proceedings of the 21st international conference on pattern recognition (ICPR2012), pp 2194–2197 Maeda M, Nakamae T, Inoue K (2012) Surface matching by curvature distribution images generated via gaze modeling. In: Proceedings of the 21st international conference on pattern recognition (ICPR2012), pp 2194–2197
185.
Zurück zum Zitat Mahiddine A, Merad D, Drap P, m. Boï J (2014) Partial 3d-object retrieval using level curves. In: 2014 6th international conference of soft computing and pattern recognition (SoCPaR), pp 77–82 Mahiddine A, Merad D, Drap P, m. Boï J (2014) Partial 3d-object retrieval using level curves. In: 2014 6th international conference of soft computing and pattern recognition (SoCPaR), pp 77–82
186.
Zurück zum Zitat Marini S, Spagnuolo M, Falcidieno B (2007) Structural shape prototypes for the automatic classification of 3d objects. IEEE Comput Gr Appl 27(4):28–37CrossRef Marini S, Spagnuolo M, Falcidieno B (2007) Structural shape prototypes for the automatic classification of 3d objects. IEEE Comput Gr Appl 27(4):28–37CrossRef
187.
Zurück zum Zitat Marques M, Costeira J (2009) Lamp: linear approach for matching points. In: 2009 16th IEEE international conference on image processing (ICIP), pp 2113–2116 Marques M, Costeira J (2009) Lamp: linear approach for matching points. In: 2009 16th IEEE international conference on image processing (ICIP), pp 2113–2116
188.
Zurück zum Zitat Marr D (1982) Vision: a computational investigation into the human representation and processing of visual information. Henry Holt and Co., Inc., New York Marr D (1982) Vision: a computational investigation into the human representation and processing of visual information. Henry Holt and Co., Inc., New York
189.
Zurück zum Zitat Matas J, Chum O, Urban M, Pajdla T (2004) Robust wide-baseline stereo from maximally stable extremal regions. Image Vis Comput 22(10):761–767 (British machine vision computing 2002) CrossRef Matas J, Chum O, Urban M, Pajdla T (2004) Robust wide-baseline stereo from maximally stable extremal regions. Image Vis Comput 22(10):761–767 (British machine vision computing 2002) CrossRef
190.
Zurück zum Zitat Mateo CM, Gil P, Torres F (2014) A performance evaluation of surface normals-based descriptors for recognition of objects using cad-models. In: 2014 11th international conference on informatics in control, automation and robotics (ICINCO), vol 02, pp 428–435 Mateo CM, Gil P, Torres F (2014) A performance evaluation of surface normals-based descriptors for recognition of objects using cad-models. In: 2014 11th international conference on informatics in control, automation and robotics (ICINCO), vol 02, pp 428–435
191.
Zurück zum Zitat Mavrinac A, Shawky A, Chen X (2008) A fuzzy associative approach for recognition of 3d objects in arbitrary pose. In: 2008 IEEE international conference on fuzzy systems (IEEE world congress on computational intelligence), pp 710–715 Mavrinac A, Shawky A, Chen X (2008) A fuzzy associative approach for recognition of 3d objects in arbitrary pose. In: 2008 IEEE international conference on fuzzy systems (IEEE world congress on computational intelligence), pp 710–715
193.
Zurück zum Zitat Megherbi N, Han J, Breckon TP, Flitton GT (2012) A comparison of classification approaches for threat detection in ct based baggage screening. In: 2012 19th IEEE international conference on image processing, pp 3109–3112 Megherbi N, Han J, Breckon TP, Flitton GT (2012) A comparison of classification approaches for threat detection in ct based baggage screening. In: 2012 19th IEEE international conference on image processing, pp 3109–3112
194.
Zurück zum Zitat Mery D, Riffo V, Zuccar I, Pieringer C (2013) Automated x-ray object recognition using an efficient search algorithm in multiple views. In: Proceedings of the 2013 IEEE conference on computer vision and pattern recognition workshops, CVPRW ’13. IEEE Computer Society, Washington, DC, pp 368–374 Mery D, Riffo V, Zuccar I, Pieringer C (2013) Automated x-ray object recognition using an efficient search algorithm in multiple views. In: Proceedings of the 2013 IEEE conference on computer vision and pattern recognition workshops, CVPRW ’13. IEEE Computer Society, Washington, DC, pp 368–374
195.
Zurück zum Zitat Mhamdi MAA, Ziou D (2014) A local approach for 3d object recognition through a set of size functions. Image Vis Comput 32(12):1030–1044CrossRef Mhamdi MAA, Ziou D (2014) A local approach for 3d object recognition through a set of size functions. Image Vis Comput 32(12):1030–1044CrossRef
196.
Zurück zum Zitat Mian A, Bennamoun M, Owens R (2010) On the repeatability and quality of keypoints for local feature-based 3d object retrieval from cluttered scenes. Int J Comput Vis 89(2):348–361CrossRef Mian A, Bennamoun M, Owens R (2010) On the repeatability and quality of keypoints for local feature-based 3d object retrieval from cluttered scenes. Int J Comput Vis 89(2):348–361CrossRef
197.
Zurück zum Zitat Mian AS, Bennamoun M, Owens R (2006) Three-dimensional model-based object recognition and segmentation in cluttered scenes. IEEE Trans Pattern Anal Mach Intell 28(10):1584–1601CrossRef Mian AS, Bennamoun M, Owens R (2006) Three-dimensional model-based object recognition and segmentation in cluttered scenes. IEEE Trans Pattern Anal Mach Intell 28(10):1584–1601CrossRef
198.
Zurück zum Zitat Mian AS, Bennamoun M, Owens RA (2006) A novel representation and feature matching algorithm for automatic pairwise registration of range images. Int J Comput Vis 66(1):19–40CrossRef Mian AS, Bennamoun M, Owens RA (2006) A novel representation and feature matching algorithm for automatic pairwise registration of range images. Int J Comput Vis 66(1):19–40CrossRef
199.
Zurück zum Zitat Mikolajczyk K, Schmid C (2002) An affine invariant interest point detector. In: Proceedings of the 7th European conference on computer vision-part I, ECCV ’02. Springer, London, pp 128–142 Mikolajczyk K, Schmid C (2002) An affine invariant interest point detector. In: Proceedings of the 7th European conference on computer vision-part I, ECCV ’02. Springer, London, pp 128–142
200.
201.
Zurück zum Zitat Mouton A, Breckon TP, Flitton GT, Megherbi N (2014) 3d object classification in baggage computed tomography imagery using randomised clustering forests. In: 2014 IEEE international conference on image processing (ICIP), pp 5202–5206 Mouton A, Breckon TP, Flitton GT, Megherbi N (2014) 3d object classification in baggage computed tomography imagery using randomised clustering forests. In: 2014 IEEE international conference on image processing (ICIP), pp 5202–5206
202.
Zurück zum Zitat Muja M, Rusu RB, Bradski G, Lowe DG (2011) Rein—a fast, robust, scalable recognition infrastructure. In: 2011 IEEE international conference on robotics and automation, pp 2939–2946 Muja M, Rusu RB, Bradski G, Lowe DG (2011) Rein—a fast, robust, scalable recognition infrastructure. In: 2011 IEEE international conference on robotics and automation, pp 2939–2946
203.
Zurück zum Zitat Murase H, Nayar SK (1996) Learning by a generation approach to appearance-based object recognition. In: Proceedings of the 13th international conference on pattern recognition, 1996, vol 1. IEEE, pp 24–29 Murase H, Nayar SK (1996) Learning by a generation approach to appearance-based object recognition. In: Proceedings of the 13th international conference on pattern recognition, 1996, vol 1. IEEE, pp 24–29
204.
Zurück zum Zitat Naguib AM, Lee S (2015) An adaptive evidence structure for bayesian recognition of 3d objects. In: Proceedings of the 9th international conference on ubiquitous information management and communication, IMCOM ’15. ACM, New York, pp 75:1–75:8 Naguib AM, Lee S (2015) An adaptive evidence structure for bayesian recognition of 3d objects. In: Proceedings of the 9th international conference on ubiquitous information management and communication, IMCOM ’15. ACM, New York, pp 75:1–75:8
205.
Zurück zum Zitat Naikal N, Yang AY, Sastry SS (2010) Towards an efficient distributed object recognition system in wireless smart camera networks. In: 2010 13th international conference on information fusion, pp 1–8 Naikal N, Yang AY, Sastry SS (2010) Towards an efficient distributed object recognition system in wireless smart camera networks. In: 2010 13th international conference on information fusion, pp 1–8
206.
Zurück zum Zitat Nair V, Hinton GE (2009) 3d object recognition with deep belief nets. In: Proceedings of the 22nd international conference on neural information processing systems, NIPS’09. Curran Associates Inc., pp 1339–1347 Nair V, Hinton GE (2009) 3d object recognition with deep belief nets. In: Proceedings of the 22nd international conference on neural information processing systems, NIPS’09. Curran Associates Inc., pp 1339–1347
207.
Zurück zum Zitat Naji D, Fakir M, Bouikhalene B, Elayachi R (2016) Recognition of 3d objects using heat diffusion equations and random forests. In: 2016 13th international conference on computer graphics, imaging and visualization (CGiV), pp 161–166 Naji D, Fakir M, Bouikhalene B, Elayachi R (2016) Recognition of 3d objects using heat diffusion equations and random forests. In: 2016 13th international conference on computer graphics, imaging and visualization (CGiV), pp 161–166
208.
Zurück zum Zitat Nakashika T, Hori T, Takiguchi T, Ariki Y (2014) 3d-object recognition based on llc using depth spatial pyramid. In: Proceedings of the 2014 22nd international conference on pattern recognition, ICPR ’14. IEEE Computer Society, Washington, DCpp 4224–4228 Nakashika T, Hori T, Takiguchi T, Ariki Y (2014) 3d-object recognition based on llc using depth spatial pyramid. In: Proceedings of the 2014 22nd international conference on pattern recognition, ICPR ’14. IEEE Computer Society, Washington, DCpp 4224–4228
209.
Zurück zum Zitat Nelleri A, Gopinathan U, Joseph J, Singh K (2006) Three-dimensional object recognition from digital fresnel hologram by wavelet matched filtering. Opt Commun 259(2):499–506CrossRef Nelleri A, Gopinathan U, Joseph J, Singh K (2006) Three-dimensional object recognition from digital fresnel hologram by wavelet matched filtering. Opt Commun 259(2):499–506CrossRef
210.
Zurück zum Zitat Nene SA, Nayar SK, Murase H (1996) Columbia object image library (coil-100). Technical report, computer vision Laboratory, Department of Computer Science, Columbia University Nene SA, Nayar SK, Murase H (1996) Columbia object image library (coil-100). Technical report, computer vision Laboratory, Department of Computer Science, Columbia University
211.
Zurück zum Zitat Nian R, Ji G, Zhao W, Feng C (2007) Probabilistic 3d object recognition from 2d invariant view sequence based on similarity. Neurocomputing 70(4–6):785–793. Advanced Neurocomputing Theory and Methodology selected papers from the international conference on intelligent computing 2005 (ICIC 2005) international conference on intelligent computing 2005 Nian R, Ji G, Zhao W, Feng C (2007) Probabilistic 3d object recognition from 2d invariant view sequence based on similarity. Neurocomputing 70(4–6):785–793. Advanced Neurocomputing Theory and Methodology selected papers from the international conference on intelligent computing 2005 (ICIC 2005) international conference on intelligent computing 2005
212.
Zurück zum Zitat Noceti N, Delponte E, Odone F (2009) Spatio-temporal constraints for on-line 3d object recognition in videos. Computer vision and image understanding 113(12):1198–1209. Special issue on 3D Representation for Object and Scene Recognition Noceti N, Delponte E, Odone F (2009) Spatio-temporal constraints for on-line 3d object recognition in videos. Computer vision and image understanding 113(12):1198–1209. Special issue on 3D Representation for Object and Scene Recognition
213.
Zurück zum Zitat Noma A, Cesar Jr, RM (2010) Sparse representations for efficient shape matching. In: Proceedings of the 2010 23rd SIBGRAPI conference on graphics, patterns and images, SIBGRAPI ’10. IEEE Computer Society, Washington, DC, pp 186–192 Noma A, Cesar Jr, RM (2010) Sparse representations for efficient shape matching. In: Proceedings of the 2010 23rd SIBGRAPI conference on graphics, patterns and images, SIBGRAPI ’10. IEEE Computer Society, Washington, DC, pp 186–192
214.
Zurück zum Zitat Nowak E, Jurie F, Triggs B (2006) Sampling strategies for bag-of-features image classification. Springer, Berlin, pp 490–503 Nowak E, Jurie F, Triggs B (2006) Sampling strategies for bag-of-features image classification. Springer, Berlin, pp 490–503
215.
Zurück zum Zitat Okada K, Kojima M, Tokutsu S, Maki T, Mori Y, Inaba M (2007) Multi-cue 3d object recognition in knowledge-based vision-guided humanoid robot system. In: 2007 IEEE/RSJ international conference on intelligent robots and systems, pp 3217–3222 Okada K, Kojima M, Tokutsu S, Maki T, Mori Y, Inaba M (2007) Multi-cue 3d object recognition in knowledge-based vision-guided humanoid robot system. In: 2007 IEEE/RSJ international conference on intelligent robots and systems, pp 3217–3222
216.
Zurück zum Zitat Okal B, Nüchter A (2013) Sliced curvature scale space for representing and recognizing 3d objects. In: 2013 16th international conference on advanced robotics (ICAR), pp 1–7 Okal B, Nüchter A (2013) Sliced curvature scale space for representing and recognizing 3d objects. In: 2013 16th international conference on advanced robotics (ICAR), pp 1–7
217.
Zurück zum Zitat Okuda H, Kitaaki Y, Hashimoto M, Kaneko S (2006) HM-ICP: fast 3-d registration algorithm with hierarchical and region selection approach of M-ICP. JRM 18(6):765–771CrossRef Okuda H, Kitaaki Y, Hashimoto M, Kaneko S (2006) HM-ICP: fast 3-d registration algorithm with hierarchical and region selection approach of M-ICP. JRM 18(6):765–771CrossRef
218.
Zurück zum Zitat Oleari F, Rizzini DL, Caselli S (2013) A low-cost stereo system for 3d object recognition. In: 2013 IEEE 9th international conference on intelligent computer communication and processing (ICCP), pp 127–132 Oleari F, Rizzini DL, Caselli S (2013) A low-cost stereo system for 3d object recognition. In: 2013 IEEE 9th international conference on intelligent computer communication and processing (ICCP), pp 127–132
219.
Zurück zum Zitat Ong LY, Chong CW, Besar R (2007) An approach to 3-d object recognition using legendre moment invariants. In: 2007 International conference on intelligent and advanced systems, pp 671–674 Ong LY, Chong CW, Besar R (2007) An approach to 3-d object recognition using legendre moment invariants. In: 2007 International conference on intelligent and advanced systems, pp 671–674
220.
Zurück zum Zitat Orts-Escolano S, Morell V, Garcia-Rodriguez J, Cazorla M, Fisher RB (2015) Real-time 3d semi-local surface patch extraction using gpgpu. J Real Time Image Process 10(4):647–666CrossRef Orts-Escolano S, Morell V, Garcia-Rodriguez J, Cazorla M, Fisher RB (2015) Real-time 3d semi-local surface patch extraction using gpgpu. J Real Time Image Process 10(4):647–666CrossRef
221.
Zurück zum Zitat Osman MK, Mashor MY, Arshad MR, Saad Z (2009) 3d object recognition using manfis network with orthogonal and non-orthogonal moments. In: 2009 5th international colloquium on signal processing its applications, pp 302–306 Osman MK, Mashor MY, Arshad MR, Saad Z (2009) 3d object recognition using manfis network with orthogonal and non-orthogonal moments. In: 2009 5th international colloquium on signal processing its applications, pp 302–306
222.
Zurück zum Zitat Owechko Y, Medasani S, Korah T (2010) Automatic recognition of diverse 3-d objects and analysis of large urban scenes using ground and aerial lidar sensors. In: CLEO/QELS: 2010 laser science to photonic applications, pp 1–2 Owechko Y, Medasani S, Korah T (2010) Automatic recognition of diverse 3-d objects and analysis of large urban scenes using ground and aerial lidar sensors. In: CLEO/QELS: 2010 laser science to photonic applications, pp 1–2
223.
Zurück zum Zitat Palossi D, Tombari F, Salti S, Ruggiero M, Stefano LD, Benini L (2013) Gpu-shot: parallel optimization for real-time 3d local description. In: 2013 IEEE conference on computer vision and pattern recognition workshops, pp 584–591 Palossi D, Tombari F, Salti S, Ruggiero M, Stefano LD, Benini L (2013) Gpu-shot: parallel optimization for real-time 3d local description. In: 2013 IEEE conference on computer vision and pattern recognition workshops, pp 584–591
224.
Zurück zum Zitat Pang B, Ma H (2011) An effective way of 3d model representation in recognition system. In: Proceedings of the 2011 international conference on multimedia and signal processing—volume 01, CMSP ’11. IEEE Computer Society, Washington, DC, pp 107–111 Pang B, Ma H (2011) An effective way of 3d model representation in recognition system. In: Proceedings of the 2011 international conference on multimedia and signal processing—volume 01, CMSP ’11. IEEE Computer Society, Washington, DC, pp 107–111
225.
Zurück zum Zitat Pang G, Neumann U (2013) Training-based object recognition in cluttered 3d point clouds. In: Proceedings of the 2013 international conference on 3D vision, 3DV ’13. IEEE Computer Society, Washington, DC, pp 87–94 Pang G, Neumann U (2013) Training-based object recognition in cluttered 3d point clouds. In: Proceedings of the 2013 international conference on 3D vision, 3DV ’13. IEEE Computer Society, Washington, DC, pp 87–94
226.
Zurück zum Zitat Pang G, Neumann U (2015) Fast and robust multi-view 3d object recognition in point clouds. In: Proceedings of the 2015 international conference on 3D vision, 3DV ’15. IEEE Computer Society, Washington, DC, pp 171–179 Pang G, Neumann U (2015) Fast and robust multi-view 3d object recognition in point clouds. In: Proceedings of the 2015 international conference on 3D vision, 3DV ’15. IEEE Computer Society, Washington, DC, pp 171–179
227.
Zurück zum Zitat Papazov C, Burschka D (2011) An efficient ransac for 3d object recognition in noisy and occluded scenes. In: Proceedings of the 10th Asian conference on computer vision—volume part I, ACCV’10. Springer, Berlin, pp 135–148 Papazov C, Burschka D (2011) An efficient ransac for 3d object recognition in noisy and occluded scenes. In: Proceedings of the 10th Asian conference on computer vision—volume part I, ACCV’10. Springer, Berlin, pp 135–148
228.
Zurück zum Zitat Pepik B, Stark M, Gehler P, Schiele B (2012) Teaching 3d geometry to deformable part models. In: 2012 IEEE conference on computer vision and pattern recognition, pp 3362–3369 Pepik B, Stark M, Gehler P, Schiele B (2012) Teaching 3d geometry to deformable part models. In: 2012 IEEE conference on computer vision and pattern recognition, pp 3362–3369
229.
Zurück zum Zitat Petrícek T, Svoboda T (2012) Area-weighted surface normals for 3d object recognition. In: Proceedings of the 21st international conference on pattern recognition (ICPR2012), pp 1492–1496 Petrícek T, Svoboda T (2012) Area-weighted surface normals for 3d object recognition. In: Proceedings of the 21st international conference on pattern recognition (ICPR2012), pp 1492–1496
230.
Zurück zum Zitat Phillips PJ, Flynn PJ, Scruggs T, Bowyer KW, Chang J, Hoffman K, Marques J, Min J, Worek W (2005) Overview of the face recognition grand challenge. In: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR’05), vol 1, pp 947–954 Phillips PJ, Flynn PJ, Scruggs T, Bowyer KW, Chang J, Hoffman K, Marques J, Min J, Worek W (2005) Overview of the face recognition grand challenge. In: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR’05), vol 1, pp 947–954
231.
Zurück zum Zitat Pichler A, Bauer H, Eberst C, Heindl C, Minichberger J (2006) Towards more agility in robot painting through 3d object recognition. In: Pham D, Eldukhri E, Soroka A (eds) Intelligent production machines and systems. Elsevier Science Ltd, Oxford, pp 608–613CrossRef Pichler A, Bauer H, Eberst C, Heindl C, Minichberger J (2006) Towards more agility in robot painting through 3d object recognition. In: Pham D, Eldukhri E, Soroka A (eds) Intelligent production machines and systems. Elsevier Science Ltd, Oxford, pp 608–613CrossRef
232.
Zurück zum Zitat Pichler A, Bauer H, Heindl C, Minichberger J, Eberst C (2007) Recognition and 6DOF localisation of parts for Lotsize1 automation. IFAC Proc 40(3):265–270 (8th IFAC workshop on intelligent manufacturing systems) Pichler A, Bauer H, Heindl C, Minichberger J, Eberst C (2007) Recognition and 6DOF localisation of parts for Lotsize1 automation. IFAC Proc 40(3):265–270 (8th IFAC workshop on intelligent manufacturing systems)
233.
Zurück zum Zitat Ping W, Wei W, Ying-hui G, Shi-fei L (2012) A recognition approach of 3-d objects based on the tsallis entropy. In: 2012 International conference on computer vision in remote sensing, pp 242–245 Ping W, Wei W, Ying-hui G, Shi-fei L (2012) A recognition approach of 3-d objects based on the tsallis entropy. In: 2012 International conference on computer vision in remote sensing, pp 242–245
234.
Zurück zum Zitat Pintilie S, Ghodsi A (2010) Conformal mapping by computationally efficient methods. In: Proceedings of the twenty-fourth AAAI conference on artificial intelligence, AAAI’10. AAAI Press, pp 557–562 Pintilie S, Ghodsi A (2010) Conformal mapping by computationally efficient methods. In: Proceedings of the twenty-fourth AAAI conference on artificial intelligence, AAAI’10. AAAI Press, pp 557–562
235.
Zurück zum Zitat Övünç Polat Yıldırım T (2007) Recognition of patterns without feature extraction by grnn. In: Proceedings of the 8th international conference on adaptive and natural computing algorithms, Part II, ICANNGA ’07. Springer, Berlin, pp 161–168 Övünç Polat Yıldırım T (2007) Recognition of patterns without feature extraction by grnn. In: Proceedings of the 8th international conference on adaptive and natural computing algorithms, Part II, ICANNGA ’07. Springer, Berlin, pp 161–168
236.
Zurück zum Zitat Övünç Polat Yıldırım T (2008) Genetic optimization of GRNN for pattern recognition without feature extraction. Expert Syst Appl 34(4):2444–2448 Övünç Polat Yıldırım T (2008) Genetic optimization of GRNN for pattern recognition without feature extraction. Expert Syst Appl 34(4):2444–2448
237.
Zurück zum Zitat Qian X, Ye C (2014) 3D object recognition by geometric context and gaussian-mixture-model-based plane classification. In: 2014 IEEE international conference on robotics and automation (ICRA), pp 3910–3915 Qian X, Ye C (2014) 3D object recognition by geometric context and gaussian-mixture-model-based plane classification. In: 2014 IEEE international conference on robotics and automation (ICRA), pp 3910–3915
238.
Zurück zum Zitat Ramalingam S, Liu ZQ, Iourinski D (2006) Curvature-based fuzzy surface classification. IEEE Trans Fuzzy Syst 14(4):573–589CrossRef Ramalingam S, Liu ZQ, Iourinski D (2006) Curvature-based fuzzy surface classification. IEEE Trans Fuzzy Syst 14(4):573–589CrossRef
239.
Zurück zum Zitat Rangel JC, Morell V, Cazorla M, Orts-Escolano S, García-Rodríguez J (2015) Using gng on 3d object recognition in noisy rgb-d data. In: 2015 International joint conference on neural networks (IJCNN), pp 1–7 Rangel JC, Morell V, Cazorla M, Orts-Escolano S, García-Rodríguez J (2015) Using gng on 3d object recognition in noisy rgb-d data. In: 2015 International joint conference on neural networks (IJCNN), pp 1–7
240.
Zurück zum Zitat Raptis SN, Koutsouris D (2006) Bayesian fusion of contour descriptions: application to 3-d object and face recognition. In: 2006 IET conference on crime and security, pp 438–444 Raptis SN, Koutsouris D (2006) Bayesian fusion of contour descriptions: application to 3-d object and face recognition. In: 2006 IET conference on crime and security, pp 438–444
241.
Zurück zum Zitat Ravari AN, Taghirad HD (2013) Unsupervised 3d object classification from range image data by algorithmic information theory. In: 2013 First RSI/ISM international conference on robotics and mechatronics (ICRoM), pp 319–324 Ravari AN, Taghirad HD (2013) Unsupervised 3d object classification from range image data by algorithmic information theory. In: 2013 First RSI/ISM international conference on robotics and mechatronics (ICRoM), pp 319–324
242.
Zurück zum Zitat Ravari AN, Taghirad HD (2014) Transformation invariant 3d object recognition based on information complexity. In: 2014 Second RSI/ISM international conference on robotics and mechatronics (ICRoM), pp 902–907 Ravari AN, Taghirad HD (2014) Transformation invariant 3d object recognition based on information complexity. In: 2014 Second RSI/ISM international conference on robotics and mechatronics (ICRoM), pp 902–907
243.
Zurück zum Zitat Raytchev B, Mino T, Tamaki T, Kaneda K (2010) View-invariant object recognition with visibility maps. In: Proceedings of the 2010 20th international conference on pattern recognition, ICPR ’10. IEEE Computer Society, Washington, DC, pp 1040–1043 Raytchev B, Mino T, Tamaki T, Kaneda K (2010) View-invariant object recognition with visibility maps. In: Proceedings of the 2010 20th international conference on pattern recognition, ICPR ’10. IEEE Computer Society, Washington, DC, pp 1040–1043
244.
Zurück zum Zitat University of York. NHS Centre for Reviews, Dissemination: undertaking systematic reviews of research on effectiveness: CRD’s guidance for those carrying out or commissioning reviews. CRD report. NHS Centre for Reviews and Dissemination, University of York (2001) University of York. NHS Centre for Reviews, Dissemination: undertaking systematic reviews of research on effectiveness: CRD’s guidance for those carrying out or commissioning reviews. CRD report. NHS Centre for Reviews and Dissemination, University of York (2001)
245.
Zurück zum Zitat Ribeiro F, Brandão S, Costeira JP, Veloso M (2015) Global localization by soft object recognition from 3d partial views. In: 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 3709–3714 Ribeiro F, Brandão S, Costeira JP, Veloso M (2015) Global localization by soft object recognition from 3d partial views. In: 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 3709–3714
246.
Zurück zum Zitat Rocha LF, Malaca P, Silva J, Moreira AP, Veiga G (2015) Development of a 3d model based part recognition system for industrial applications: main challenges. In: 2015 IEEE international conference on industrial technology (ICIT), pp 3296–3301 Rocha LF, Malaca P, Silva J, Moreira AP, Veiga G (2015) Development of a 3d model based part recognition system for industrial applications: main challenges. In: 2015 IEEE international conference on industrial technology (ICIT), pp 3296–3301
247.
Zurück zum Zitat Rodner E, Hegazy D, Denzler J (2010) Multiple kernel gaussian process classification for generic 3d object recognition. In: 2010 25th International conference of image and vision computing New Zealand, pp 1–8 Rodner E, Hegazy D, Denzler J (2010) Multiple kernel gaussian process classification for generic 3d object recognition. In: 2010 25th International conference of image and vision computing New Zealand, pp 1–8
248.
Zurück zum Zitat Rodolà E, Albarelli A, Bergamasco F, Torsello A (2013) A scale independent selection process for 3d object recognition in cluttered scenes. Int J Comput Vis 102(1–3):129–145MathSciNetCrossRef Rodolà E, Albarelli A, Bergamasco F, Torsello A (2013) A scale independent selection process for 3d object recognition in cluttered scenes. Int J Comput Vis 102(1–3):129–145MathSciNetCrossRef
249.
Zurück zum Zitat Rodríguez-Sánchez AJ, Szedmak S, Piater J (2015) Scurv: A 3d descriptor for object classification. In: 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 1320–1327 Rodríguez-Sánchez AJ, Szedmak S, Piater J (2015) Scurv: A 3d descriptor for object classification. In: 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 1320–1327
250.
Zurück zum Zitat Rodrigues Ja, Lam R, du Buf H (2012) Cortical 3d face and object recognition using 2d projections. Int J Creat Interaces Comput Gr 3(1):45–62 Rodrigues Ja, Lam R, du Buf H (2012) Cortical 3d face and object recognition using 2d projections. Int J Creat Interaces Comput Gr 3(1):45–62
251.
Zurück zum Zitat Rothwell CA, Zisserman A, Forsyth DA, Mundy JL (1992) Canonical frames for planar object recognition. In: Sandini G (ed) Computer vision—ECCV’92. Springer, Berlin, pp 757–772 Rothwell CA, Zisserman A, Forsyth DA, Mundy JL (1992) Canonical frames for planar object recognition. In: Sandini G (ed) Computer vision—ECCV’92. Springer, Berlin, pp 757–772
252.
Zurück zum Zitat Rui Y, She AC, Huang TS (1996) Modified fourier descriptors for shape representation – a practical approach. In: Proc of first international workshop on image databases and multi media search Rui Y, She AC, Huang TS (1996) Modified fourier descriptors for shape representation – a practical approach. In: Proc of first international workshop on image databases and multi media search
253.
Zurück zum Zitat Rusu RB, Blodow N, Beetz M (2009) Fast point feature histograms (fpfh) for 3d registration. In: 2009 IEEE international conference on robotics and automation, pp 3212–3217 Rusu RB, Blodow N, Beetz M (2009) Fast point feature histograms (fpfh) for 3d registration. In: 2009 IEEE international conference on robotics and automation, pp 3212–3217
254.
Zurück zum Zitat Rusu RB, Bradski G, Thibaux R, Hsu J (2010) Fast 3d recognition and pose using the viewpoint feature histogram. In: 2010 IEEE/RSJ international conference on intelligent robots and systems, pp 2155–2162 Rusu RB, Bradski G, Thibaux R, Hsu J (2010) Fast 3d recognition and pose using the viewpoint feature histogram. In: 2010 IEEE/RSJ international conference on intelligent robots and systems, pp 2155–2162
255.
Zurück zum Zitat Rusu RB, Cousins S (2011) 3d is here: point cloud library (pcl). In: 2011 IEEE international conference on robotics and automation, pp 1–4 Rusu RB, Cousins S (2011) 3d is here: point cloud library (pcl). In: 2011 IEEE international conference on robotics and automation, pp 1–4
256.
Zurück zum Zitat Salas-Moreno RF, Newcombe RA, Strasdat H, Kelly PHJ, Davison AJ (2013) Slam++: Simultaneous localisation and mapping at the level of objects. In: Proceedings of the 2013 IEEE conference on computer vision and pattern recognition, CVPR ’13. IEEE Computer Society, Washington, DC, pp 1352–1359 Salas-Moreno RF, Newcombe RA, Strasdat H, Kelly PHJ, Davison AJ (2013) Slam++: Simultaneous localisation and mapping at the level of objects. In: Proceedings of the 2013 IEEE conference on computer vision and pattern recognition, CVPR ’13. IEEE Computer Society, Washington, DC, pp 1352–1359
257.
Zurück zum Zitat Salgian AS (2007) Using multiple patches for 3d object recognition. In: 2007 IEEE conference on computer vision and pattern recognition, pp 1–6 Salgian AS (2007) Using multiple patches for 3d object recognition. In: 2007 IEEE conference on computer vision and pattern recognition, pp 1–6
258.
Zurück zum Zitat Salgian AS (2008) Combining local descriptors for 3d object recognition and categorization. In: 2008 19th International conference on pattern recognition, pp 1–4 Salgian AS (2008) Combining local descriptors for 3d object recognition and categorization. In: 2008 19th International conference on pattern recognition, pp 1–4
259.
Zurück zum Zitat Salih Y, Malik AS, Sidibé D, Simsim MT, Saad N, Meriaudeau F (2014) Compressed vfh descriptor for 3d object classification. In: 2014 3DTV-conference: the true vision—capture, transmission and display of 3D video (3DTV-CON), pp 1–4 Salih Y, Malik AS, Sidibé D, Simsim MT, Saad N, Meriaudeau F (2014) Compressed vfh descriptor for 3d object classification. In: 2014 3DTV-conference: the true vision—capture, transmission and display of 3D video (3DTV-CON), pp 1–4
260.
Zurück zum Zitat Salti S, Tombari F, Stefano LD (2011) A performance evaluation of 3d keypoint detectors. In: Proceedings of the 2011 international conference on 3D imaging, modeling, processing, visualization and transmission, 3DIMPVT ’11. IEEE Computer Society, Washington, DC, pp 236–243 Salti S, Tombari F, Stefano LD (2011) A performance evaluation of 3d keypoint detectors. In: Proceedings of the 2011 international conference on 3D imaging, modeling, processing, visualization and transmission, 3DIMPVT ’11. IEEE Computer Society, Washington, DC, pp 236–243
261.
Zurück zum Zitat van de Sande K, Gevers T, Snoek C (2010) Evaluating color descriptors for object and scene recognition. IEEE Trans Pattern Anal Mach Intell 32(9):1582–1596CrossRef van de Sande K, Gevers T, Snoek C (2010) Evaluating color descriptors for object and scene recognition. IEEE Trans Pattern Anal Mach Intell 32(9):1582–1596CrossRef
262.
Zurück zum Zitat Sanguino TJM, Gómez FP (2015) Improving 3d object detection and classification based on kinect sensor and hough transform. In: 2015 International symposium on innovations in intelligent systems and applications (INISTA), pp 1–8 Sanguino TJM, Gómez FP (2015) Improving 3d object detection and classification based on kinect sensor and hough transform. In: 2015 International symposium on innovations in intelligent systems and applications (INISTA), pp 1–8
263.
Zurück zum Zitat Šeatović D (2008) A segmentation approach in novel real time 3D plant recognition system. In: Gasteratos A, Vincze M, Tsotsos JK (eds) Computer vision systems. ICVS 2008. Lecture notes in computer science, vol 5008. Springer, Berlin, Heidelberg, pp 363–372 Šeatović D (2008) A segmentation approach in novel real time 3D plant recognition system. In: Gasteratos A, Vincze M, Tsotsos JK (eds) Computer vision systems. ICVS 2008. Lecture notes in computer science, vol 5008. Springer, Berlin, Heidelberg, pp 363–372
264.
Zurück zum Zitat Selinger A, Nelson RC (1999) A perceptual grouping hierarchy for appearance-based 3d object recognition. Comput Vis Image Underst 76(1):83–92CrossRef Selinger A, Nelson RC (1999) A perceptual grouping hierarchy for appearance-based 3d object recognition. Comput Vis Image Underst 76(1):83–92CrossRef
265.
Zurück zum Zitat Shah SAA, Bennamoun M, Boussaid F (2016) A novel feature representation for automatic 3d object recognition in cluttered scenes. Neurocomputing 205:1–15CrossRef Shah SAA, Bennamoun M, Boussaid F (2016) A novel feature representation for automatic 3d object recognition in cluttered scenes. Neurocomputing 205:1–15CrossRef
266.
Zurück zum Zitat Shah SAA, Bennamoun M, Boussaid F (2017) Keypoints-based surface representation for 3d modeling and 3d object recognition. Pattern Recognit 64:29–38CrossRef Shah SAA, Bennamoun M, Boussaid F (2017) Keypoints-based surface representation for 3d modeling and 3d object recognition. Pattern Recognit 64:29–38CrossRef
267.
Zurück zum Zitat Shah SAA, Bennamoun M, Boussaid F, El-Sallam AA (2013) A novel local surface description for automatic 3d object recognition in low resolution cluttered scenes. In: 2013 IEEE international conference on computer vision workshops, pp 638–643 Shah SAA, Bennamoun M, Boussaid F, El-Sallam AA (2013) A novel local surface description for automatic 3d object recognition in low resolution cluttered scenes. In: 2013 IEEE international conference on computer vision workshops, pp 638–643
268.
Zurück zum Zitat Shaiek A, Moutarde F (2013) Fast 3d keypoints detector and descriptor for view-based 3d objects recognition. In: Revised selected and invited papers of the international workshop on advances in depth image analysis and applications, vol 7854. Springer, New York, pp 106–115 Shaiek A, Moutarde F (2013) Fast 3d keypoints detector and descriptor for view-based 3d objects recognition. In: Revised selected and invited papers of the international workshop on advances in depth image analysis and applications, vol 7854. Springer, New York, pp 106–115
269.
Zurück zum Zitat Sheta AF, Baareh A, Al-Batah M (2012) 3d object recognition using fuzzy mathematical modeling of 2d images. In: 2012 International Conference on Multimedia Computing and Systems, pp 278–283 Sheta AF, Baareh A, Al-Batah M (2012) 3d object recognition using fuzzy mathematical modeling of 2d images. In: 2012 International Conference on Multimedia Computing and Systems, pp 278–283
270.
Zurück zum Zitat Shilane P, Min P, Kazhdan M, Funkhouser T (2004) The Princeton shape benchmark. In: In Shape modeling international, pp 167–178 Shilane P, Min P, Kazhdan M, Funkhouser T (2004) The Princeton shape benchmark. In: In Shape modeling international, pp 167–178
271.
Zurück zum Zitat Shimamura J, Yoshida T, Taniguchi Y, Yabushita H, Sudo K, Murasaki K (2015) The method based on view-directional consistency constraints for robust 3d object recognition. In: 2015 14th IAPR international conference on machine vision applications (MVA), pp 455–458 Shimamura J, Yoshida T, Taniguchi Y, Yabushita H, Sudo K, Murasaki K (2015) The method based on view-directional consistency constraints for robust 3d object recognition. In: 2015 14th IAPR international conference on machine vision applications (MVA), pp 455–458
272.
Zurück zum Zitat Shivaswamy PK, Jebara T (2006) Permutation invariant svms. In: Proceedings of the 23rd international conference on machine learning, ICML ’06. ACM, New York, NY, pp 817–824 Shivaswamy PK, Jebara T (2006) Permutation invariant svms. In: Proceedings of the 23rd international conference on machine learning, ICML ’06. ACM, New York, NY, pp 817–824
273.
Zurück zum Zitat Smeets D, Fabry T, Hermans J, Vandermeulen D, Suetens P (2010) Inelastic deformation invariant modal representation for non-rigid 3d object recognition. In: Proceedings of the 6th international conference on articulated motion and deformable objects, AMDO’10. Springer, Berlin, pp 162–171 Smeets D, Fabry T, Hermans J, Vandermeulen D, Suetens P (2010) Inelastic deformation invariant modal representation for non-rigid 3d object recognition. In: Proceedings of the 6th international conference on articulated motion and deformable objects, AMDO’10. Springer, Berlin, pp 162–171
274.
Zurück zum Zitat Socher R, Huval B, Bhat B, Manning CD, Ng AY (2012) Convolutional-recursive deep learning for 3d object classification. In: Proceedings of the 25th international conference on neural information processing systems, NIPS’12. Curran Associates Inc., USA, pp 656–664 Socher R, Huval B, Bhat B, Manning CD, Ng AY (2012) Convolutional-recursive deep learning for 3d object classification. In: Proceedings of the 25th international conference on neural information processing systems, NIPS’12. Curran Associates Inc., USA, pp 656–664
275.
Zurück zum Zitat Soodamani R, Liu ZQ (1998) Object recognition using fuzzy modelling and fuzzy matching. In: 1998 IEEE international conference on fuzzy systems proceedings. IEEE world congress on computational intelligence (Cat. No.98CH36228), vol 1, pp 165–170 Soodamani R, Liu ZQ (1998) Object recognition using fuzzy modelling and fuzzy matching. In: 1998 IEEE international conference on fuzzy systems proceedings. IEEE world congress on computational intelligence (Cat. No.98CH36228), vol 1, pp 165–170
276.
Zurück zum Zitat Soysal M, Alatan AA (2015) Joint utilization of local appearance and geometric invariants for 3d object recognition. Multimedia Tools Appl 74(8):2611–2637CrossRef Soysal M, Alatan AA (2015) Joint utilization of local appearance and geometric invariants for 3d object recognition. Multimedia Tools Appl 74(8):2611–2637CrossRef
277.
Zurück zum Zitat Stasse O, Dupitier S, Yokoi K (2006) 3d object recognition using spin-images for a humanoid stereoscopic vision system. In: 2006 IEEE/RSJ international conference on intelligent robots and systems, pp 2955–2960 Stasse O, Dupitier S, Yokoi K (2006) 3d object recognition using spin-images for a humanoid stereoscopic vision system. In: 2006 IEEE/RSJ international conference on intelligent robots and systems, pp 2955–2960
278.
Zurück zum Zitat Takei S, Akizuki S, Hashimoto M (2014) 3d object recognition using effective features selected by evaluating performance of discrimination. In: 2014 13th International conference on control automation robotics vision (ICARCV), pp 70–75 Takei S, Akizuki S, Hashimoto M (2014) 3d object recognition using effective features selected by evaluating performance of discrimination. In: 2014 13th International conference on control automation robotics vision (ICARCV), pp 70–75
279.
Zurück zum Zitat Takei S, Akizuki S, Hashimoto M (2015) Short: A fast 3d feature description based on estimating occupancy in spherical shell regions. In: 2015 International conference on image and vision computing New Zealand (IVCNZ), pp 1–5 Takei S, Akizuki S, Hashimoto M (2015) Short: A fast 3d feature description based on estimating occupancy in spherical shell regions. In: 2015 International conference on image and vision computing New Zealand (IVCNZ), pp 1–5
280.
Zurück zum Zitat Tan AH, Godfrey KR (2002) The generation of binary and near-binary pseudorandom signals: an overview. IEEE Trans Instrum Meas 51(4):583–588CrossRef Tan AH, Godfrey KR (2002) The generation of binary and near-binary pseudorandom signals: an overview. IEEE Trans Instrum Meas 51(4):583–588CrossRef
281.
Zurück zum Zitat Tangruamsub S, Takada K, Hasegawa O (2011) 3D object recognition using a voting algorithm in a real-world environment. In: Proceedings of the 2011 IEEE workshop on applications of computer vision (WACV), WACV ’11. IEEE Computer Society, Washington, DC, pp 153–158 Tangruamsub S, Takada K, Hasegawa O (2011) 3D object recognition using a voting algorithm in a real-world environment. In: Proceedings of the 2011 IEEE workshop on applications of computer vision (WACV), WACV ’11. IEEE Computer Society, Washington, DC, pp 153–158
282.
Zurück zum Zitat Tateno K, Tombari F, Navab N (2015) Real-time and scalable incremental segmentation on dense slam. In: 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 4465–4472 Tateno K, Tombari F, Navab N (2015) Real-time and scalable incremental segmentation on dense slam. In: 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 4465–4472
283.
Zurück zum Zitat Tateno K, Tombari F, Navab N (2016) When 2.5d is not enough: Simultaneous reconstruction, segmentation and recognition on dense slam. In: 2016 IEEE international conference on robotics and automation (ICRA), pp 2295–2302 Tateno K, Tombari F, Navab N (2016) When 2.5d is not enough: Simultaneous reconstruction, segmentation and recognition on dense slam. In: 2016 IEEE international conference on robotics and automation (ICRA), pp 2295–2302
284.
Zurück zum Zitat Taylor G, Kleeman L (2014) Visual perception and robotic manipulation: 3D object recognition, tracking and hand–eye coordination. Springer, Berlin Taylor G, Kleeman L (2014) Visual perception and robotic manipulation: 3D object recognition, tracking and hand–eye coordination. Springer, Berlin
285.
Zurück zum Zitat Teh YW, Jordan M (2010) Hierarchical Bayesian nonparametric models with applications. Cambridge University Press, Cambridge, UKCrossRef Teh YW, Jordan M (2010) Hierarchical Bayesian nonparametric models with applications. Cambridge University Press, Cambridge, UKCrossRef
286.
Zurück zum Zitat Tombari F, Di Stefano L (2010) Object recognition in 3d scenes with occlusions and clutter by hough voting. In: Proceedings of the 2010 fourth Pacific-Rim symposium on image and video technology, PSIVT ’10. IEEE Computer Society, Washington, DC, pp 349–355 Tombari F, Di Stefano L (2010) Object recognition in 3d scenes with occlusions and clutter by hough voting. In: Proceedings of the 2010 fourth Pacific-Rim symposium on image and video technology, PSIVT ’10. IEEE Computer Society, Washington, DC, pp 349–355
287.
Zurück zum Zitat Tombari F, Salti S, Di Stefano L (2010) Unique shape context for 3d data description. In: Proceedings of the ACM workshop on 3D object retrieval, 3DOR ’10. ACM, New York, NY, pp 57–62 Tombari F, Salti S, Di Stefano L (2010) Unique shape context for 3d data description. In: Proceedings of the ACM workshop on 3D object retrieval, 3DOR ’10. ACM, New York, NY, pp 57–62
288.
Zurück zum Zitat Tombari F, Salti S, Di Stefano L (2010) Unique signatures of histograms for local surface description. Springer, Berlin, pp 356–369 Tombari F, Salti S, Di Stefano L (2010) Unique signatures of histograms for local surface description. Springer, Berlin, pp 356–369
289.
Zurück zum Zitat Tombari F, Salti S, Stefano LD (2011) A combined texture-shape descriptor for enhanced 3d feature matching. In: 2011 18th IEEE international conference on image processing, pp 809–812 Tombari F, Salti S, Stefano LD (2011) A combined texture-shape descriptor for enhanced 3d feature matching. In: 2011 18th IEEE international conference on image processing, pp 809–812
290.
Zurück zum Zitat Treiber MA (2010) An introduction to object recognition: selected algorithms for a wide variety of applications, 1st edn. Springer, Berlin Treiber MA (2010) An introduction to object recognition: selected algorithms for a wide variety of applications, 1st edn. Springer, Berlin
291.
Zurück zum Zitat Trudeau R (1993) Introduction to graph theory. Dover books on mathematics. Dover Pub, Mineola Trudeau R (1993) Introduction to graph theory. Dover books on mathematics. Dover Pub, Mineola
292.
Zurück zum Zitat Truong HQ, Lee S, Jang SW (2008) Model-based recognition of 3d objects using intersecting lines. In: 2008 IEEE international conference on multisensor fusion and integration for intelligent systems, pp 656–660 Truong HQ, Lee S, Jang SW (2008) Model-based recognition of 3d objects using intersecting lines. In: 2008 IEEE international conference on multisensor fusion and integration for intelligent systems, pp 656–660
294.
Zurück zum Zitat Ulrich M, Wiedemann C, Steger C (2012) Combining scale-space and similarity-based aspect graphs for fast 3d object recognition. IEEE Trans Pattern Anal Mach Intell 34(10):1902–1914CrossRef Ulrich M, Wiedemann C, Steger C (2012) Combining scale-space and similarity-based aspect graphs for fast 3d object recognition. IEEE Trans Pattern Anal Mach Intell 34(10):1902–1914CrossRef
295.
Zurück zum Zitat Unel M, Soldea O, Ozgur E, Bassa A (2010) 3d object recognition using invariants of 2d projection curves. Pattern Anal Appl 13(4):451–468MathSciNetCrossRef Unel M, Soldea O, Ozgur E, Bassa A (2010) 3d object recognition using invariants of 2d projection curves. Pattern Anal Appl 13(4):451–468MathSciNetCrossRef
296.
Zurück zum Zitat Urdiales C, de Trazegnies C, Pacheco J, Sandoval F (2010) View planning for efficient contour-based 3d object recognition. In: Melecon 2010–2010 15th IEEE mediterranean electrotechnical conference, pp 206–211 Urdiales C, de Trazegnies C, Pacheco J, Sandoval F (2010) View planning for efficient contour-based 3d object recognition. In: Melecon 2010–2010 15th IEEE mediterranean electrotechnical conference, pp 206–211
297.
Zurück zum Zitat Usui Y, Kondo K (2010) 3d object recognition based on confidence lut of sift feature distance. In: 2010 Second world congress on nature and biologically inspired computing (NaBIC), pp 293–297 Usui Y, Kondo K (2010) 3d object recognition based on confidence lut of sift feature distance. In: 2010 Second world congress on nature and biologically inspired computing (NaBIC), pp 293–297
298.
Zurück zum Zitat Vázquez RA, Sossa H, Garro BA (2007) 3d object recognition based on low frequency response and random feature selection. In: Proceedings of the artificial intelligence 6th mexican international conference on advances in artificial intelligence, MICAI’07. Springer, Berlin, pp 694–704 Vázquez RA, Sossa H, Garro BA (2007) 3d object recognition based on low frequency response and random feature selection. In: Proceedings of the artificial intelligence 6th mexican international conference on advances in artificial intelligence, MICAI’07. Springer, Berlin, pp 694–704
299.
Zurück zum Zitat Vázquez RA, Sossa H, Garro BA (2009) The role of the infant vision system in 3d object recognition. In: Köppen M, Kasabov N, Coghill G (eds) Adv Neuro Inform Process. Springer, Berlin, pp 800–807CrossRef Vázquez RA, Sossa H, Garro BA (2009) The role of the infant vision system in 3d object recognition. In: Köppen M, Kasabov N, Coghill G (eds) Adv Neuro Inform Process. Springer, Berlin, pp 800–807CrossRef
300.
Zurück zum Zitat Wan LL, Miao ZJ (2009) 3d object classification by fuzzy knn and bayesian decision. In: Proceedings of the 2009 fifth international conference on intelligent information hiding and multimedia signal processing, IIH-MSP ’09. IEEE Computer Society, Washington, DC, pp 455–458 Wan LL, Miao ZJ (2009) 3d object classification by fuzzy knn and bayesian decision. In: Proceedings of the 2009 fifth international conference on intelligent information hiding and multimedia signal processing, IIH-MSP ’09. IEEE Computer Society, Washington, DC, pp 455–458
301.
Zurück zum Zitat Wang D, Qian H (2008) 3d object recognition by fast spherical correlation between combined view egis and pft. In: 2008 19th International conference on pattern recognition, pp 1–4 Wang D, Qian H (2008) 3d object recognition by fast spherical correlation between combined view egis and pft. In: 2008 19th International conference on pattern recognition, pp 1–4
302.
Zurück zum Zitat Wang J, Lu J, Chen W, Wu X (2015) Convolutional neural network for 3d object recognition based on rgb-d dataset. In: 2015 IEEE 10th conference on industrial electronics and applications (ICIEA), pp 34–39 Wang J, Lu J, Chen W, Wu X (2015) Convolutional neural network for 3d object recognition based on rgb-d dataset. In: 2015 IEEE 10th conference on industrial electronics and applications (ICIEA), pp 34–39
303.
Zurück zum Zitat Wang S, Wang Y, Jin M, Gu X, Samaras D (2006) 3d surface matching and recognition using conformal geometry. In: Proceedings of the 2006 IEEE computer society conference on computer vision and pattern recognition, vol 2, CVPR ’06. IEEE Computer Society, Washington, DC, pp 2453–2460 Wang S, Wang Y, Jin M, Gu X, Samaras D (2006) 3d surface matching and recognition using conformal geometry. In: Proceedings of the 2006 IEEE computer society conference on computer vision and pattern recognition, vol 2, CVPR ’06. IEEE Computer Society, Washington, DC, pp 2453–2460
304.
Zurück zum Zitat Wang S, Wang Y, Jin M, Gu XD, Samaras D (2007) Conformal geometry and its applications on 3d shape matching, recognition, and stitching. IEEE Trans Pattern Anal Mach Intell 29(7):1209–1220CrossRef Wang S, Wang Y, Jin M, Gu XD, Samaras D (2007) Conformal geometry and its applications on 3d shape matching, recognition, and stitching. IEEE Trans Pattern Anal Mach Intell 29(7):1209–1220CrossRef
305.
Zurück zum Zitat Wang Y, Sun G, Wang C, Han D (2010) Research on 3d object recognition from wire-frame based on edge moment. In: 2010 3rd International conference on advanced computer theory and engineering (ICACTE), vol 1, pp V1-78–V1-82 Wang Y, Sun G, Wang C, Han D (2010) Research on 3d object recognition from wire-frame based on edge moment. In: 2010 3rd International conference on advanced computer theory and engineering (ICACTE), vol 1, pp V1-78–V1-82
306.
Zurück zum Zitat Weiss I, Ray M (1998) Model-based recognition of 3D objects from one view. Springer, Berlin, pp 716–732 Weiss I, Ray M (1998) Model-based recognition of 3D objects from one view. Springer, Berlin, pp 716–732
307.
Zurück zum Zitat Westell J, Saeedi P (2010) 3d object recognition via multi-view inspection in unknown environments. In: 2010 11th International conference on control automation robotics vision, pp 2088–2095 Westell J, Saeedi P (2010) 3d object recognition via multi-view inspection in unknown environments. In: 2010 11th International conference on control automation robotics vision, pp 2088–2095
308.
Zurück zum Zitat Wohlkinger W, Aldoma A, Rusu RB, Vincze M (2012) 3dnet: Large-scale object class recognition from cad models. In: 2012 IEEE international conference on robotics and automation, pp 5384–5391 Wohlkinger W, Aldoma A, Rusu RB, Vincze M (2012) 3dnet: Large-scale object class recognition from cad models. In: 2012 IEEE international conference on robotics and automation, pp 5384–5391
309.
Zurück zum Zitat Wohlkinger W, Vincze M (2010) 3d object classification for mobile robots in home-environments using web-data. In: 19th International workshop on robotics in Alpe-Adria-Danube Region (RAAD 2010), pp 247–252 Wohlkinger W, Vincze M (2010) 3d object classification for mobile robots in home-environments using web-data. In: 19th International workshop on robotics in Alpe-Adria-Danube Region (RAAD 2010), pp 247–252
310.
Zurück zum Zitat Wohlkinger W, Vincze M (2011) Ensemble of shape functions for 3d object classification. In: 2011 IEEE international conference on robotics and biomimetics, pp 2987–2992 Wohlkinger W, Vincze M (2011) Ensemble of shape functions for 3d object classification. In: 2011 IEEE international conference on robotics and biomimetics, pp 2987–2992
311.
Zurück zum Zitat Wohlkinger W, Vincze M (2011) Shape distributions on voxel surfaces for 3d object classification from depth images. In: 2011 IEEE international conference on signal and image processing applications (ICSIPA), pp 115–120 Wohlkinger W, Vincze M (2011) Shape distributions on voxel surfaces for 3d object classification from depth images. In: 2011 IEEE international conference on signal and image processing applications (ICSIPA), pp 115–120
312.
Zurück zum Zitat Wu J, Fukui K (2008) Multiple view based 3d object classification using ensemble learning of local subspaces. In: 2008 19th International conference on pattern recognition, pp 1–4 Wu J, Fukui K (2008) Multiple view based 3d object classification using ensemble learning of local subspaces. In: 2008 19th International conference on pattern recognition, pp 1–4
313.
Zurück zum Zitat Xia S, Hancock ER (2008) 3d object recognition using hyper-graphs and ranked local invariant features. In: Proceedings of the 2008 joint IAPR international workshop on structural, syntactic, and statistical pattern recognition, SSPR & SPR ’08. Springer, Berlin, pp 117–126 Xia S, Hancock ER (2008) 3d object recognition using hyper-graphs and ranked local invariant features. In: Proceedings of the 2008 joint IAPR international workshop on structural, syntactic, and statistical pattern recognition, SSPR & SPR ’08. Springer, Berlin, pp 117–126
314.
Zurück zum Zitat Xia Y, Zhang L, Xu W, Shan Z, Liu Y (2015) Recognizing multi-view objects with occlusions using a deep architecture. Inform Sci 320:333–345MathSciNetCrossRef Xia Y, Zhang L, Xu W, Shan Z, Liu Y (2015) Recognizing multi-view objects with occlusions using a deep architecture. Inform Sci 320:333–345MathSciNetCrossRef
315.
Zurück zum Zitat Xiang Y, Savarese S (2012) Estimating the aspect layout of object categories. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 3410–3417 Xiang Y, Savarese S (2012) Estimating the aspect layout of object categories. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 3410–3417
316.
Zurück zum Zitat Xiang Y, Savarese S (2012) Estimating the aspect layout of object categories. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition Xiang Y, Savarese S (2012) Estimating the aspect layout of object categories. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition
317.
Zurück zum Zitat Xiang Y, Savarese S (2013) Object detection by 3d aspectlets and occlusion reasoning. In: Proceedings of the 2013 IEEE international conference on computer vision workshops, ICCVW ’13. IEEE Computer Society, Washington, DC, pp 530–537 Xiang Y, Savarese S (2013) Object detection by 3d aspectlets and occlusion reasoning. In: Proceedings of the 2013 IEEE international conference on computer vision workshops, ICCVW ’13. IEEE Computer Society, Washington, DC, pp 530–537
318.
Zurück zum Zitat Xing W, Liu W, Yuan B (2006) Volumetric part based 3d object classification. In: 2006 5th IEEE international conference on cognitive informatics, vol 1, pp 405–412 Xing W, Liu W, Yuan B (2006) Volumetric part based 3d object classification. In: 2006 5th IEEE international conference on cognitive informatics, vol 1, pp 405–412
319.
Zurück zum Zitat Xing W, Liu W, Yuan B (2007) 3d object classification system based on volumetric parts. In: 2007 IEEE international conference on systems, man and cybernetics, pp 984–990 Xing W, Liu W, Yuan B (2007) 3d object classification system based on volumetric parts. In: 2007 IEEE international conference on systems, man and cybernetics, pp 984–990
320.
Zurück zum Zitat Xing W, Liu W, Yuan B, Lu W (2007) An integrated system for 3d object reconstruction and recognition. In: Proceedings of the 7th WSEAS international conference on simulation, modelling and optimization, SMO’07. World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, pp 281–284 Xing W, Liu W, Yuan B, Lu W (2007) An integrated system for 3d object reconstruction and recognition. In: Proceedings of the 7th WSEAS international conference on simulation, modelling and optimization, SMO’07. World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, pp 281–284
321.
Zurück zum Zitat Xing W, Yuan B, Liu M, Tang X (2006) 3D object classification by part features fusion. In: 2006 8th international conference on signal processing, vol 2 Xing W, Yuan B, Liu M, Tang X (2006) 3D object classification by part features fusion. In: 2006 8th international conference on signal processing, vol 2
322.
Zurück zum Zitat Xu Q, Wan W, Wang J, An X (2015) The application of local features in 3-dimentional object recognition. In: 2015 International conference on smart and sustainable city and big data (ICSSC), pp 96–100 Xu Q, Wan W, Wang J, An X (2015) The application of local features in 3-dimentional object recognition. In: 2015 International conference on smart and sustainable city and big data (ICSSC), pp 96–100
323.
Zurück zum Zitat Xu S, Peng Qc (2008) 3d object recognition using multiple features and neural network. In: 2008 IEEE conference on cybernetics and intelligent systems, pp 434–439 Xu S, Peng Qc (2008) 3d object recognition using multiple features and neural network. In: 2008 IEEE conference on cybernetics and intelligent systems, pp 434–439
324.
Zurück zum Zitat Xu X, Dehghani A, Corrigan D, Caulfield S, Moloney D (2016) Convolutional neural network for 3d object recognition using volumetric representation. In: 2016 first international workshop on sensing, processing and learning for intelligent machines (SPLINE), pp 1–5 Xu X, Dehghani A, Corrigan D, Caulfield S, Moloney D (2016) Convolutional neural network for 3d object recognition using volumetric representation. In: 2016 first international workshop on sensing, processing and learning for intelligent machines (SPLINE), pp 1–5
325.
Zurück zum Zitat Xu YH, Luo RH, Min HQ (2012) Label transfer for joint recognition and segmentation of 3d object. In: 2012 International conference on machine learning and cybernetics, vol. 3, pp 1188–1192 Xu YH, Luo RH, Min HQ (2012) Label transfer for joint recognition and segmentation of 3d object. In: 2012 International conference on machine learning and cybernetics, vol. 3, pp 1188–1192
326.
Zurück zum Zitat Yabushita H, Osawa T, Shimamura J, Taniguchi Y (2013) Mobile visual search for 3-d objects: Matching user-captured video to single reference image. In: 2013 IEEE 2nd global conference on consumer electronics (GCCE), pp 122–123 Yabushita H, Osawa T, Shimamura J, Taniguchi Y (2013) Mobile visual search for 3-d objects: Matching user-captured video to single reference image. In: 2013 IEEE 2nd global conference on consumer electronics (GCCE), pp 122–123
327.
Zurück zum Zitat Yabushita H, Shimamura J, Morimoto M (2012) A framework of three-dimensional object recognition which needs only a few reference images. In: Proceedings of the 21st international conference on pattern recognition (ICPR2012), pp 1375–1378 Yabushita H, Shimamura J, Morimoto M (2012) A framework of three-dimensional object recognition which needs only a few reference images. In: Proceedings of the 21st international conference on pattern recognition (ICPR2012), pp 1375–1378
328.
Zurück zum Zitat Yoon KJ, Shin MG, Lee JH (2010) Recognizing 3d objects with 3d information from stereo vision. In: 2010 20th International conference on pattern recognition, pp 4020–4023 Yoon KJ, Shin MG, Lee JH (2010) Recognizing 3d objects with 3d information from stereo vision. In: 2010 20th International conference on pattern recognition, pp 4020–4023
329.
Zurück zum Zitat Yoshikawa N, Ii Y (2006) Three-dimensional object recognition using multiplex complex amplitude information with support function. In: Proceedings of the first international conference on innovative computing, information and control, volume 1, ICICIC ’06. IEEE Computer Society, Washington, DC, pp 314–317 Yoshikawa N, Ii Y (2006) Three-dimensional object recognition using multiplex complex amplitude information with support function. In: Proceedings of the first international conference on innovative computing, information and control, volume 1, ICICIC ’06. IEEE Computer Society, Washington, DC, pp 314–317
330.
Zurück zum Zitat Yu J, Weng K, Liang G, Xie G (2013) A vision-based robotic grasping system using deep learning for 3d object recognition and pose estimation. In: IEEE international conference on robotics and biomimetics, ROBIO 2013, Shenzhen, China, December 12–14, 2013, pp 1175–1180 Yu J, Weng K, Liang G, Xie G (2013) A vision-based robotic grasping system using deep learning for 3d object recognition and pose estimation. In: IEEE international conference on robotics and biomimetics, ROBIO 2013, Shenzhen, China, December 12–14, 2013, pp 1175–1180
331.
Zurück zum Zitat Yu X, Gao Y, Zhou J (2014) Face recognition using 3d directional corner points. In: 2014 22nd International conference on pattern recognition, pp 2802–2807 Yu X, Gao Y, Zhou J (2014) Face recognition using 3d directional corner points. In: 2014 22nd International conference on pattern recognition, pp 2802–2807
332.
Zurück zum Zitat Zang C, Hashimoto K, Moon J (2011) A visual tracking strategy using computer graphics and edge. In: 2011 IEEE international conference on robotics and biomimetics, pp 981–986 Zang C, Hashimoto K, Moon J (2011) A visual tracking strategy using computer graphics and edge. In: 2011 IEEE international conference on robotics and biomimetics, pp 981–986
333.
Zurück zum Zitat Zarpalas D, Kordelas G, Daras P (2011) Recognizing 3d objects in cluttered scenes using projection images. In: 2011 18th IEEE international conference on image processing, pp 673–676 Zarpalas D, Kordelas G, Daras P (2011) Recognizing 3d objects in cluttered scenes using projection images. In: 2011 18th IEEE international conference on image processing, pp 673–676
334.
Zurück zum Zitat Zhai JH, Wang XZ, Zhang SF, Li J (2007) View-based 3d object recognition using wavelet multiscale singular-value decomposition and support vector machine. In: 2007 International conference on wavelet analysis and pattern recognition, vol 3, pp 1428–1432 Zhai JH, Wang XZ, Zhang SF, Li J (2007) View-based 3d object recognition using wavelet multiscale singular-value decomposition and support vector machine. In: 2007 International conference on wavelet analysis and pattern recognition, vol 3, pp 1428–1432
335.
Zurück zum Zitat Zhang X, Liu Y, Gao C, Liu J (2008) An isomap-eigenanalysis-regression pose estimation algorithm of three-dimentional object. In: 2008 Second international symposium on intelligent information technology application, vol 3, pp 61–65 Zhang X, Liu Y, Gao C, Liu J (2008) An isomap-eigenanalysis-regression pose estimation algorithm of three-dimentional object. In: 2008 Second international symposium on intelligent information technology application, vol 3, pp 61–65
336.
Zurück zum Zitat Zhong Y (2009) Intrinsic shape signatures: a shape descriptor for 3d object recognition. In: 2009 IEEE 12th international conference on computer vision workshops, ICCV Workshops, pp 689–696 Zhong Y (2009) Intrinsic shape signatures: a shape descriptor for 3d object recognition. In: 2009 IEEE 12th international conference on computer vision workshops, ICCV Workshops, pp 689–696
337.
Zurück zum Zitat Zhou J, Cadavid S, Abdel-Mottaleb M (2010) Histograms of categorized shapes for 3d ear detection. In: 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp 1–6 Zhou J, Cadavid S, Abdel-Mottaleb M (2010) Histograms of categorized shapes for 3d ear detection. In: 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp 1–6
338.
Zurück zum Zitat Zhou J, Cadavid S, Abdel-Mottaleb M (2011) A computationally efficient approach to 3d ear recognition employing local and holistic features. In: CVPR 2011 Workshops, pp 98–105 Zhou J, Cadavid S, Abdel-Mottaleb M (2011) A computationally efficient approach to 3d ear recognition employing local and holistic features. In: CVPR 2011 Workshops, pp 98–105
339.
Zurück zum Zitat Zhu F, Shao L (2014) Weakly-supervised cross-domain dictionary learning for visual recognition. Int J Comput Vis 109(1):42–59MathSciNetMATHCrossRef Zhu F, Shao L (2014) Weakly-supervised cross-domain dictionary learning for visual recognition. Int J Comput Vis 109(1):42–59MathSciNetMATHCrossRef
340.
Zurück zum Zitat Zhu F, Shao L, Fang Y (2016) Boosted cross-domain dictionary learning for visual categorization. IEEE Intell Syst 31(3):6–18CrossRef Zhu F, Shao L, Fang Y (2016) Boosted cross-domain dictionary learning for visual categorization. IEEE Intell Syst 31(3):6–18CrossRef
341.
Zurück zum Zitat Zhuang Y, Lin X, Hu H, Guo G (2015) Using scale coordination and semantic information for robust 3-d object recognition by a service robot. IEEE Sens J 15(1):37–47CrossRef Zhuang Y, Lin X, Hu H, Guo G (2015) Using scale coordination and semantic information for robust 3-d object recognition by a service robot. IEEE Sens J 15(1):37–47CrossRef
342.
Zurück zum Zitat Zia MZ, Stark M, Schindler K (2014) Are cars just 3d boxes? jointly estimating the 3d shape of multiple objects. In: Proceedings of the 2014 IEEE conference on computer vision and pattern recognition, CVPR ’14. IEEE Computer Society, Washington, DC, pp 3678–3685 Zia MZ, Stark M, Schindler K (2014) Are cars just 3d boxes? jointly estimating the 3d shape of multiple objects. In: Proceedings of the 2014 IEEE conference on computer vision and pattern recognition, CVPR ’14. IEEE Computer Society, Washington, DC, pp 3678–3685
343.
Zurück zum Zitat Zografos V, Buxton BF (2007) Pose-invariant 3d object recognition using linear combination of 2d views and evolutionary optimisation. In: Proceedings of the international conference on computing: theory and applications, ICCTA ’07. IEEE Computer Society, Washington, DC, pp 645–649 Zografos V, Buxton BF (2007) Pose-invariant 3d object recognition using linear combination of 2d views and evolutionary optimisation. In: Proceedings of the international conference on computing: theory and applications, ICCTA ’07. IEEE Computer Society, Washington, DC, pp 645–649
344.
Zurück zum Zitat Zou F, Wang Y, Yang Y, Zhou K, Chen Y, Song J (2015) Supervised feature learning via l2-norm regularized logistic regression for 3d object recognition. Neurocomputing 151(2):603–611 Zou F, Wang Y, Yang Y, Zhou K, Chen Y, Song J (2015) Supervised feature learning via l2-norm regularized logistic regression for 3d object recognition. Neurocomputing 151(2):603–611
Metadaten
Titel
3D object recognition and classification: a systematic literature review
verfasst von
L. E. Carvalho
A. von Wangenheim
Publikationsdatum
27.02.2019
Verlag
Springer London
Erschienen in
Pattern Analysis and Applications / Ausgabe 4/2019
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-019-00804-4

Weitere Artikel der Ausgabe 4/2019

Pattern Analysis and Applications 4/2019 Zur Ausgabe

Premium Partner