Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Buchtitelbild

2015 | OriginalPaper | Buchkapitel

3D Objects Feature Extraction and Its Applications: A Survey

verfasst von : Haisheng Li, Xuan Liu, Qiang Cai, Junping Du

Erschienen in: Transactions on Edutainment XI

Verlag: Springer Berlin Heidelberg

Einloggen

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

search-config
loading …

Abstract

As large public repositories of 3D objects continue to grow, more and more feature extraction technologies for 3D objects spring up. On the basis of classical algorithm, new factors have been added to these emerging technologies. Feature extraction technologies, which are based on shape structure and geometry information, include semantics, kinematics and cognition, etc. While the technologies have been developing, using features to solve problem is more important than just extracting features from 3D objects. In this paper, we summarize several feature extraction technologies from different aspects. Then we aim at the applications of 3D object feature, not just the general 3D models retrieval, mainly about some specific applications and target on 3D CAD objects, non-rigid 3D objects and deformable objects.

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Nächstes Kapitel Detection and Segmentation of Moving Objects from Dynamic RGB and Depth Images
Literatur
Au, O., Tai, C., Chu, H., Cohen–Or, D., Lee, T.: Skeleton extraction by mesh contraction. ACM Trans. Graph. 27(3), 44:1–44:10 (2008)CrossRef
Bai, J., Gao, S.M., Tang, W.H., Liu, Y.S., Guo, S.: Design reuse oriented partial retrieval of CAD models. Comput. Aided Des. 42, 1069–1084 (2010)CrossRef
Bai, J., Liu, Y.S., Gao, S.M.: Multiresolutional retrieval of solid models based on local dilation. J. Comput. Aided Des. Comput. Graph. 19(4), 480–485 (2007). (in Chinese)MathSciNet
Baloch, S., Krim, H.: Object recognition through topo-geometric shape models using error-tolerant subgraph isomorphisms. IEEE Trans. Image Process. 19(5), 1191–1200 (2010)MathSciNetCrossRef
Blum, H.: A transformation for Extracting New Descriptors of shape, pp. 362–380. MIT Press, Cambridge (1967)
Blum, H.: Biological shape and visual science: part I. J. Theor. Biol. 1973(38), 205–287 (1973)CrossRef
Cao, T.Y., Yang, J.B., Zhang, W.X.: Potential balance-based image skeleton extraction algorithm 2003. J. SE Univ. (Nat. Sci. Ed.) 33(6), 724–727 (2003)
Chaouch, M., Verroust-Blondet, A.: 3D gaussian descriptor for 3D shape retrieval. multimedia and Expo, 2009. ICME 2009, 834–837 (2009)
Chaudhuri, S., Koltun, V.: Data-Driven suggestions for creativity support in 3D modeling. ACM Trans. Graph. 29(6), 183:1–183:9 (2010)CrossRef
Chen, D.Y., Tian, X.P., Shen, Y.T., Ouhyoung, M.: On visual similarity based 3d model retrieval. Compuet. Graph. Fourm 22(3), 223–232 (2003)CrossRef
Chen, X., Gao, S.M., Guo, S., Bai, J.: A flexible assembly retrieval approach for model reuse. Comput. Aided Des. 44, 554–574 (2012)CrossRef
Chen, X.F., Wang, R.S.: A multi-scale skeletonization algorithm based on non-ridge points lowering operation. J. Softw. 14(5), 925–929 (2003). (in Chinese)MATH
Cornea, N.D., Silver, D., Min, P.: Curve-Skeleton properties, applications, and algorithms. IEEE Transactiond Vis. Comput. Graph. 13(3), 530–548 (2007)CrossRef
Cui, C.Y., Shi, J.Y.: Analysis of feature extraction in 3D model retrieval. J. Comput. Aided Des. Comput. Graph. 16(7), 882–889 (2004). (in Chinese)
Daras, P., Axenopoulos, A.: A compact multi-view descriptor for 3D object retrieval. In: Seventh International Workshop on Content-Based Multimedia Indexing, pp. 115–119 (2009)
Pickup, D., Sun, X., Rosin, P.L., et al.: SHREC 2014 track: shape retrieval of non-rigid 3D human models. In: Proceedings of the 7th Eurographics workshop on 3D Object Retrieval. Eurographics Association, 2014, 10 (2014)
de Goes, F., Goldenstein, S., Desbrun, M., Velho, L.: Exoskeleton: curve network abstraction for 3D shapes. Comput. Graph. 35, 112–121 (2011)CrossRef
Ding, Y., Liu, W.Y., Zheng, Y.H.: Hierarchical connected skeletonization algorithm based on distance transform. J. Infrared Millim. Waves 24(4), 281–285 (2005). (in Chinese)
Fang, Y., Sun, M.T., Ramani, K.: Temperature distribution descriptor for robust 3D shape retrieval. In: 2011 IEEE Computer Society Conference Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 9–16 (2011)
Gao, W., Gao, S.M., Liu, Y.S.: 3D CAD model similarity assessment and retrieval using DBS. In: Proceeding of ASME DETC 2005 Computers and Information in Engineering(CIE) Conferenee (2005)
Gao, Y., Tang, J.H., Hong, R.C., Yan, S.C., Dai, Q.H.: Camera constraint-free view-based 3-D object retrieval. IEEE Trans. Image Process. 21(4), 2269–2281 (2012)MathSciNetCrossRef
Gao, Y., Tang, J.H., Li, H.J., Dai, Q.H., Zhang, N.Y.: View-based 3D model retrieval with probabilistic graph model. Neurocomputing 73, 1900–1905 (2010)CrossRef
Jain, A., Thormählen, T., Ritschel, T., Seidel, H.: Exploring shape variations by 3D-model decomposition and part-based recombination. In: Paper presented at the EUROGRAPHICS 2012 (2011)
Kalogerakis, E., Chaudhuri, S., Koller, D., Koltun, V.: A probabilistic model for component-based shape synthesis. ACM Trans. Graph. 31(4), 55:1–55:11 (2012)CrossRef
Lavoué, G.: Bag of words and local spectral descriptor for 3D partial shape retrieval. In: Eurographics Workshop on 3D Object Retrieval (3DOR 2011), pp. 41–48 (2011)
Lee, C., Shih, J., Yu, K., Chang, H.: Projection of shape features for 3D model retrieval. In: International Conference of the Multimedia Technology (ICMT), pp. 634–637 (2011)
Lombaert, H., Grady, L., Polimeni, J.R., et al.: FOCUSR: feature oriented correspondence using spectral regularization–a method for precise surface matching. Pattern Anal. Mach. Intell. IEEE Trans. 35(9), 2143–2160 (2013)CrossRef
Li, M., Zhang, Y.F., Fuh, J.Y.H.: Retrieving reusable 3D CAD modelsretrieving reusable 3D CAD models using knowledge-driven dependency graph partitioning. Comput. Aided Des. Appl. 7(3), 417–430 (2010)
Li, P.J., Ma, H.D., Ming, A.L.: View-based 3D model retrieval with topological structure. In: 2011 IEEE International Multimedia and Expo (ICME), pp. 1–6 (2011a)
Li, P.J., Ma, H.D., Ming, A.L.: Non-rigid 3D model retrieval using multi-scale local features. In: MM 2011 Proceedings of the 19th ACM International Conference on Multimedia, pp. 1425–1428 (2011b)
Lian, Z.H., Godil, A., Bustos, B., Daoudi, M., Hermans, J., Kawamura, S., et al.: A comparison of methods for non-rigid 3D shape retrieval. Appear Pattern Recognit. 46, 449–461 (2013)CrossRef
Lin, J., Li, Z., Jin, X.G., Li, L.: Skeleton extraction method based on convex hull and OBB. J. Comput. Aided Des. Comput. Graph. 24(6), 793–798 (2012). (in Chinese)
Liu, J.T., Liu, W.Y., Wu, C.H., et al.: A new method of extracting objects’ curve-skeleton. Acta Automatica Sinica 34(6), 617–622 (2008). (in Chinese)CrossRef
Liu, Y.J., Zheng, Y.F., Lv, L., Xuan, Y.M., Fu, X.L.: 3D model retrieval based on color + geometry signatures. Vis. Comput. 28, 75–86 (2012)CrossRef
Liu, Y.J., Luo, X., Joneja, A., Ma, C.X., Fu, X.L., Song, D.W.: User-adaptive Sketch-based 3D CAD model retrieval. In: To appear in IEEE Transactions on Automation Science and Engineering (2012b)
Liu, Y.J., Zhang, X.D., Li, Z.M., Li, H.: 3D model feature extraction method based on the projection of principle plane. Comput. Aided Des. Comput. Graph. 10(11), 463–469 (2009)
Liu, W.Y., Bai, X., Zhu, G.X.: A skeleton-growing algorithm based on boundary curve evolution. Acta Automatica Sinica 32(2), 256–262 (2006). (in Chinese)
Lmaati, E.A., Oirrak, A.E., Aboutajdine, D., Daoudi, M., Kaddioui, M.N.: A 3-D Search engine based on Fourier series. Comput. Vis. Image Underst. 114, 1–7 (2010)CrossRef
Mahmoudi, S., Benjelloun, M.: 3D objects retrieval using curvature scale space and zernike moments. J. Pattern Recogn. Res. 1, 75–95 (2011)CrossRef
Osada, R., Funkhouser, T., Chazelle, B., et al.: Shape distributions. ACM Trans. Graph. 21(4):807–823 (2002)CrossRef
Ovsjanikov, M., Li, W., Guibas, L., Mitra, N.J.: Exploration of continuous variability in collections of 3D shapes. ACM Trans. Graph. 30(4), 33:1–33:10 (2011)CrossRef
Ohkita, Y., Furuya, T., Ohbuchi, R.: Sets of local 3D shape descriptors for 3D model retrieval. In: Proceedings of the Visual Computing Symposium (2009)
Pan, X., You, Q., Liu, Z., Chen, Q.H.: 3D shape retrieval by Poisson histogram. Pattern Recogn. Lett. 32, 787–794 (2011)CrossRef
Pang, B., Ma, H.M.: An effective way of 3D model representation in recognition system. In: International Conference on Multimedia and Signal Processing, pp. 107–111 (2011)
Paquet, E., Rioux, M..: A content-based search engine for VRML databases management. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Santa Barbara, California, USA, pp. 541–546 (1998)
Litman, R., Bronstein, A.M.: Learning spectral descriptors for deformable shape correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 36(1), 171–180 (2014)CrossRef
Emanuele, R., Rota, B.S., Thomas, W., et al.: Dense non-rigid shape correspondence using random forests. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 4177–4184 (2014)
Ruggeri, M.R., Patane, G., Spagnuolo, M., Saupe, D.: Spectral-Driven isometry-invariant matching of 3D shapes. Int. J. Comput. Vis. 89, 248–265 (2010)CrossRef
Sfikas, K., Pratikakis, I., Theoharis, T.: 3D Object retrieval via range image queries based on SIFT descriptors on panoramic views. In: Eurographics Workshop on 3D Object Retrieval, pp. 9–15 (2012)
Sfikas, K., Theoharis, T., Pratikakis, I.: Non-rigid 3D object retrieval using topological information guided by conformal factors. In: Eurographics Workshop on 3D Object Retrieval, pp. 25–32 (2011)
Shapira, L., Shamir, A., Cohen-Or, D.: Consistent mesh partitioning and skeletonisation using the shape diameter function. Vis. Comput. 24, 249–259 (2008)CrossRef
Sipiran, I., Bustos, B.: A fully hierarchical approach for finding correspondences in non-rigid shapes. In: 2013 IEEE International Conference on Computer Vision (ICCV), IEEE, pp. 817–824 (2013)
Stavropoulos, G., Moschonas, P., Moustakas, K.: 3-D model search and retrieval from range images using salient features. IEEE Trans. Multimedia 12(7), 692–704 (2010)CrossRef
Tagliasacchi, A., Zhang, H., Cohen-Or, D.: Curve skeleton extraction from incomplete point cloud. ACM Trans. Graph. 28(3), 71:1–71:9 (2009)CrossRef
Tang, J., Miller, S., Singh, A., Abbeel, P.: A textured object recognition pipeline for color and depth image data. In: 2012 IEEE International Conference of the Robotics and Automation (ICRA), pp. 3467–3474 (2012)
Tao, S.Q., Huang, Z.D., Zuo, B.Q., Peng, Y.P., Kang, W.R.: Partial retrieval of CAD models based on the gradient flows in Lie group. Pattern Recogn. 45, 1721–1738 (2012)MATHCrossRef
Wang, F., Zhang, S.S., Bai, X.L., Wang, H.S.: 3D model retrieval based on both the topology and shape features. J. Comput. Aided Des. Comput. Graph. 20(1), 99–103 (2008a). (in Chinese)
Wang, F., Zhang, S.S., Bai, X.L., Chen, S.Q.: Local matching of 3D CAD models based on subgraph isomorphism. J. Comput. Aided Des. Comput. Graph. 20(8), 1076–1084 (2008b). (in Chinese)
Wang, H.S., Zhang, S.S., Bai, X.L., Zhang, K.X.: 3D CAD surface model retrieval algorithm based on distance and curvature distributions. J. Comput. Aided Des. Comput. Graph. 22(5), 762–770 (2010). (in Chinese)CrossRef
Wang, X.L., Zha, H.B.: Contour canonical form an efficient intrinsic embedding approach to matching non-rigid 3D objects. In: ICMR 2012 Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, pp. 31:1–31:8 (2012)
Xu, K., Zhang, H., Cohen-Or, D., Chen, B.Q.: Fit and diverse set evolution for inspiring 3D shape galleries. ACM Trans. Graph. 31(4), 57:1–57:10 (2012)CrossRef
Xu, K., Zheng, H.L., Zhang, H., Cohen-Or, D., Liu, L.G., Xiong, Y.S.: Photo-inspired model-driven 3D object modeling. ACM Trans. Graph. 30(4), 80:1–80:10 (2011)
Yang, Y.B., Lin, H., Zhu, Q.: Content-Based 3D model retrieval: a survey. Chin. J. Comput. 27(10), 1297–1310 (2004). (in Chinese)MathSciNet
Ye, L., Liu, J., Shan, G.H., Chi, X.B.: Skeletonization of grayscale volumes for shape description. In: 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization, pp. 337–342 (2009)
Yu, Z., Liu, J.T., Bai, X.: Research and perspective on shape matching. Acta Automatica Sinica 38(6), 889–910 (2012). (in Chinese)MathSciNetCrossRef
Zhang, K.X., Zhang, S.S., Li, L.: A method of 3D CAD model retrieval based on ant colony algorithm. J. Comput. Aided Des. Comput. Graph. 23(4), 633–639 (2001). (in Chinese)
Zhang, K.X., Zhang, S.S., Bai, X.L.: Automatic extraction of common reusable partial structures in 3D CAD models. J. Comput. Aided Des. Comput. Graph. 23(9), 1512–1519 (2011). (in Chinese)MathSciNet
Zheng, B.C., Peng, W., Zhang, Y., Ye, X., Zhang, S.Y.: A survey on 3D model retrieval techniques. J. Comput. Aided Des. Comput. Graph. 16(7), 873–881 (2004). (in Chinese)
Zhu, K.P., Wong, Y.S., Lu, W.F., Fuh, J.Y.H.: A diffusion wavelet approach for 3-D model matching. Comput. Aided Des. 41, 28–36 (2009)CrossRef
Metadaten
Titel
3D Objects Feature Extraction and Its Applications: A Survey
verfasst von
Haisheng Li
Xuan Liu
Qiang Cai
Junping Du
Copyright-Jahr
2015
Verlag
Springer Berlin Heidelberg
Buch
Transactions on Edutainment XI

Print ISBN: 978-3-662-48246-9

Electronic ISBN: 978-3-662-48247-6

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-662-48247-6_1