Skip to main content
SpringerLink
Log in

Partial matching of 3D cultural heritage objects using panoramic views

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

In this paper, we present a method for partial matching and retrieval of 3D objects based on range image queries. The proposed methodology addresses the retrieval of complete 3D objects using range image queries that represent partial views. The core methodology relies upon Bag-of-Visual-Words modelling and enhanced Dense SIFT descriptor computed on panoramic views and range image queries. Performance evaluation builds upon standard measures and a challenging 3D pottery dataset originating from the Hampson Archaeological Museum collection.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Ankerst M, Kastenmller G, Kriegel HP, Seidl T (1999) 3d shape histograms for similarity search and classification in spatial databases. In: Gting R, Papadias D, Lochovsky F (eds) Advances in spatial databases, Lecture Notes in Computer Science, vol 1651. Springer, Berlin, pp 207–226. doi:10.1007/3-540-48482-5_14

    Google Scholar 

  2. Bosch A, Zisserman A, Munoz~ X (2006) Scene classification via plsa. In: Leonardis A, Bischof H, Pinz A (eds) ECCV (4)’06, Lecture Notes in Computer Science, vol 3954. Springer, pp 517–530

  3. Bosch A, Zisserman A, Munoz~ X (2007) Image classification using random forests and ferns. ICCV’07, IEEE, pp 1–8

  4. Bronstein AM, Bronstein MM, Guibas LJ, Ovsjanikov M (2011) Shape Google: geometric words and expressions for invariant shape retrieval. ACM TOG, pp 1–20

  5. Chaouch M, Verroust-Blondet A (2006) Enhanced 2D/3D approaches based on relevance index for 3D-shape retrieval. In: SMI. IEEE Computer Society, p 36. doi:10.1109/SMI.2006.11

  6. Chaouch M, Verroust-Blondet A (2007) A new descriptor for 2D depth image indexing and 3D model retrieval. In: Image processing 2007. ICIP 2007. IEEE International Conference on, vol 6, pp 373–376. doi:10.1109/ICIP.2007.4379599

  7. Chen DY, Tian XP, Shen YT, Ouhyoung M (2003) On visual similarity based 3D model retrieval. Comput. Graph. Forum: 223–232

  8. Daras P, Axenopoulos A (2009) A compact multi-view descriptor for 3D object retrieval. In: Proceedings of the 2009 seventh international workshop on content-based multimedia indexing, CBMI ’09. IEEE Computer Society, Washington, DC, USA, pp 115 –119. doi:10.1109/CBMI.2009.15

  9. Dutagaci H, Godil A, Axenopoulos A, Daras P, Furuya T, Ohbuchi R (2009) SHREC’09 track: querying with partial models. In: Spagnuolo M, Pratikakis I, Veltkamp R, Theoharis T (eds) Eurographics workshop on 3D object retrieval. Eurographics Association, Munich, Germany, pp 69–76. doi:10.2312/3DOR/3DOR09/069-076

  10. Dutagaci H, Godil A, Cheung CP, Furuya T, Hillenbrand U, Ohbuchi R (2010) SHREC’10 track: range scan retrieval. In: Daoudi M, Schreck T (eds) Eurographics workshop on 3D object retrieval. Eurographics Association, Norrköping, Sweden, pp 109–115. doi:10.2312/3DOR/3DOR10/109-115

  11. Furuya T, Ohbuchi R (2009) Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features. Proceedings of the ACM international conference on image and video retrieval, CIVR ’09. ACM, New York, NY, USA, pp 26:1–26:8

  12. Geurts P, Ernst D, Wehenkel L (2006) Extremely randomized trees. Mach Learn 36(1): 3–42

    Article  MATH  Google Scholar 

  13. Giorgi D, Biasotti S, Paraboschi L (2007) SHape REtrieval contest 2007: watertight models track

  14. Hampson: The hampson archaeological museum state park. http://www.arkansasstateparks.com/hampsonmuseum/#.UahgmdJ8lRg. Accessed on 31/5/2013

  15. Hampson: The virtual hampson museum project. http://hampson.cast.uark.edu. Accessed on 31/5/2013

  16. Kazhdan M, Funkhouser T, Rusinkiewicz S (2003) Rotation invariant spherical harmonic representation of 3D shape descriptors. In: Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing, SGP ’03. Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, pp 156–164

  17. Koutsoudis: A 3D pottery content based retrieval benchmark dataset. http://www.ipet.gr/homedirakoutsou/benchmark. Accessed on 31/5/2013

  18. Koutsoudis A, Chamzas C (2011) 3D pottery shape matching using depth map images. J Cult Herit 12(2):128–133. doi:10.1016/j.culher.2010.12.003

  19. Koutsoudis A, Pavlidis G, Liami V, Tsiafakis D, Chamzas C (2010) 3D pottery content-based retrieval based on pose normalisation and segmentation. J Cult Herit 11(3): 329–338. doi:10.1016/j.culher.2010.02.002

    Article  Google Scholar 

  20. Lavoué G (2012) Combination of bag-of-words descriptors for robust partial shape retrieval. Vis Comput 28(9): 931–942

    Article  Google Scholar 

  21. Li B, Godil A, Joham H (2013) Hybrid shape descriptor and meta similarity generation for non-rigid and partial 3D model retrieval. Multimed Tools Appl: 1–30

  22. Lloyd SP (1982) Least squares quantization in PCM. IEEE Trans Inf Theory 28(2): 129–137

    Article  MathSciNet  MATH  Google Scholar 

  23. Lowe DG (1999) Object recognition from local scale-invariant features. In: Proceedings of the international conference on computer vision-volume 2–Volume 2, ICCV ’99. IEEE Computer Society, Washington, DC, USA. pp 1150–

  24. Ohbuchi R, Furuya T (2009) Scale-weighted dense bag of visual features for 3D model retrieval from a partial view 3D model. In: Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on, pp 63–70. doi:10.1109/ICCVW.2009.5457716

  25. Ohbuchi R, Osada K, Furuya T, Banno T (2008) Salient local visual features for shape-based 3D model retrieval. In: Shape modeling international, pp 93–102. IEEE. doi:10.1109/SMI.2008.4547955

  26. Papadakis P, Pratikakis I, Theoharis T, Perantonis SJ (2010) PANORAMA: A 3D shape descriptor based on panoramic views for unsupervised 3D object retrieval. Int J Comput Vis 89(2–3): 177–192

    Article  Google Scholar 

  27. Sfikas K, Pratikakis I, Koutsoudis A, Savelonas M, Theoharis T (2013) 3D object partial matching using panoramic views. In: New trends in image analysis and processing–ICIAP 2013. Springer, pp 169–178

  28. Sfikas K, Pratikakis I, Theoharis T (2011) ConTopo: non-rigid 3D object retrieval using topological information guided by conformal factors. In: Laga H, Schreck T, Ferreira A, Godil A, Pratikakis I, Veltkamp RC (eds) 3DOR. Eurographics Association, pp 25–32. doi:10.2312/3DOR/3DOR11/025-032

  29. Shih J L, Lee CH, Wang JT (2007) A new 3D model retrieval approach based on the elevation descriptor. Pattern Recog 40(1): 283–295. doi:10.1016/j.patcog.2006.04.034

    Article  MATH  Google Scholar 

  30. Shilane P, Min P, Kazhdan M, Funkhouser T (2004) The princeton shape benchmark. In: Proceedings of the shape modeling international 2004, SMI ’04. IEEE Computer Society, Washington, DC, USA, pp 167–178. doi:10.1109/SMI.2004.63

  31. Stavropoulos TG, Moschonas P, Moustakas K, Tzovaras D, Strintzis MG (2010) 3D model search and retrieval from range images using salient features. IEEE Trans Multimed 12(7): 692–704. doi:10.1109/TMM.2010.2053023

    Article  Google Scholar 

  32. Theoharis T, Papaioannou G, Platis N, Patrikalakis NM (2007) Graphics and visualization: principles & algorithms. A. K. Peters, Ltd., Natick

  33. Tierny J, Vanderborre J, Daudi M (2009) Partial 3D shape retrieval by Reeb pattern unfolding. Comput Graph For 28(1): 41–55

    Google Scholar 

  34. Vranic DV (2005) DESIRE: a composite 3D-shape descriptor. ICME, . IEEE, pp 962–965

  35. Wahl E, Hillenbrand U, Hirzinger G (2003) Surflet-pair-relation histograms: a statistical 3D-shape representation for rapid classification. In: 3DIM. IEEE Computer Society, pp 474–481. doi:10.1109/IM.2003.1240284

Download references

Acknowledgements

The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement n ∘ 600533 PRESIOUS.

Author information

Authors and Affiliations

  1. ATHENA Research and Innovation Center, Xanthi, Greece

    Konstantinos Sfikas, Anestis Koutsoudis & Michalis Savelonas

  2. Department of Electrical, Computer Engineering, Democritus University of Thrace, Xanthi, Greece

    Ioannis Pratikakis

  3. ATHENA Research and Innovation Center, Xanthi, Greece

    Theoharis Theoharis

  4. IDI, NTNU, Trondheim, Norway

    Theoharis Theoharis

Authors
  1. Konstantinos Sfikas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ioannis Pratikakis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Anestis Koutsoudis
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Michalis Savelonas
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Theoharis Theoharis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michalis Savelonas.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sfikas, K., Pratikakis, I., Koutsoudis, A. et al. Partial matching of 3D cultural heritage objects using panoramic views. Multimed Tools Appl 75, 3693–3707 (2016). https://doi.org/10.1007/s11042-014-2069-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-014-2069-0

Keywords

Search

Navigation