3D Object Partial Matching Using Panoramic Views

  • Konstantinos Sfikas
  • Ioannis Pratikakis
  • Anestis Koutsoudis
  • Michalis Savelonas
  • Theoharis Theoharis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8158)


In this paper, a methodology for 3D object partial matching and retrieval based on range image queries is presented. The proposed methodology addresses the retrieval of complete 3D objects based on artificially created range image queries which represent partial views. The core methodology relies upon Dense SIFT descriptors computed on panoramic views. Performance evaluation builds upon the standard measures and a challenging 3D pottery dataset originated from the Hampson Archeological Museum collection.


3D object retrieval partial matching 3D pottery dataset 


  1. 1.
    Bosch, A., Zisserman, A., Muñoz, X.: Scene classification via pLSA. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 517–530. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  2. 2.
    Bosch, A., Zisserman, A., Muñoz, X.: Image classification using random forests and ferns. In: ICCV 2007, pp. 1–8. IEEE (2007)Google Scholar
  3. 3.
    Chaouch, M., Verroust-Blondet, A.: Enhanced 2D/3D approaches based on relevance index for 3D-shape retrieval. In: SMI, p. 36. IEEE Computer Society (2006)Google Scholar
  4. 4.
    Chaouch, M., Verroust-Blondet, A.: A new descriptor for 2D depth image indexing and 3D model retrieval. In: IEEE International Conference on Image Processing, ICIP 2007, vol. 6, pp. 373–376 (2007)Google Scholar
  5. 5.
    Chen, D.Y., Tian, X.P., Shen, Y.T., Ouhyoung, M.: On visual similarity based 3D model retrieval. Comput. Graph. Forum, 223–232 (2003)Google Scholar
  6. 6.
    Daras, P., Axenopoulos, A.: A compact multi-view descriptor for 3D object retrieval. In: Proceedings of the 2009 Seventh International Workshop on Content-Based Multimedia Indexing, CBMI 2009, pp. 115–119. IEEE Computer Society, Washington, DC (2009)CrossRefGoogle Scholar
  7. 7.
    Dutagaci, H., Godil, A., Axenopoulos, A., Daras, P., Furuya, T., Ohbuchi, R.: SHREC’09 track: Querying with partial models. In: Spagnuolo, M., Pratikakis, I., Veltkamp, R., Theoharis, T. (eds.) Eurographics Workshop on 3D Object Retrieval, pp. 69–76. Eurographics Association, Munich (2009)Google Scholar
  8. 8.
    Dutagaci, H., Godil, A., Cheung, C.P., Furuya, T., Hillenbrand, U., Ohbuchi, R.: SHREC’10 track: Range scan retrieval. In: Daoudi, M., Schreck, T. (eds.) Eurographics Workshop on 3D Object Retrieval, pp. 109–115. Eurographics Association, Norrköping (2010)Google Scholar
  9. 9.
    Furuya, T., Ohbuchi, R.: Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features. In: Proceedings of the ACM International Conference on Image and Video Retrieval, CIVR 2009, pp. 26:1–26:8. ACM, New York (2009)CrossRefGoogle Scholar
  10. 10.
    Geurts, P., Ernst, D., Wehenkel, L.: Extremely randomized trees. Machine Learning 36(1), 3–42 (2006)CrossRefGoogle Scholar
  11. 11.
    Giorgi, D., Biasotti, S., Paraboschi, L.: SHape REtrieval contest 2007: Watertight models track (2007)Google Scholar
  12. 12.
    Hampson: The hampson archaeological museum state park, (accessed on May 31, 2013)
  13. 13.
    Hampson: The virtual hampson museum project, (accessed on May 31, 2013)
  14. 14.
    Kazhdan, M., Funkhouser, T., Rusinkiewicz, S.: Rotation invariant spherical harmonic representation of 3D shape descriptors. In: Proceedings of the 2003 Eurographics/ACM SIGGRAPH Symposium on Geometry Processing, SGP 2003, pp. 156–164. Eurographics Association, Aire-la-Ville (2003)Google Scholar
  15. 15.
    Koutsoudis: A 3D pottery content based retrieval benchmark dataset, (accessed on May 31, 2013)
  16. 16.
    Koutsoudis, A., Chamzas, C.: 3D pottery shape matching using depth map images. Journal of Cultural Heritage 12(2), 128–133 (2011)CrossRefGoogle Scholar
  17. 17.
    Koutsoudis, A., Pavlidis, G., Liami, V., Tsiafakis, D., Chamzas, C.: 3D pottery content-based retrieval based on pose normalisation and segmentation. Journal of Cultural Heritage 11(3), 329–338 (2010)CrossRefGoogle Scholar
  18. 18.
    Lowe, D.G.: Object recognition from local scale-invariant features. In: Proceedings of the International Conference on Computer Vision, ICCV 1999, vol. 2, pp. 1150–1157. IEEE Computer Society, Washington, DC (1999)Google Scholar
  19. 19.
    Ohbuchi, R., Furuya, T.: Scale-weighted dense bag of visual features for 3D model retrieval from a partial view 3D model. In: 2009 IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), September 27-October 4, pp. 63–70 (2009)Google Scholar
  20. 20.
    Ohbuchi, R., Osada, K., Furuya, T., Banno, T.: Salient local visual features for shape-based 3D model retrieval. In: Shape Modeling International, pp. 93–102. IEEE (2008)Google Scholar
  21. 21.
    Papadakis, P., Pratikakis, I., Theoharis, T., Perantonis, S.J.: PANORAMA: A 3D shape descriptor based on panoramic views for unsupervised 3D object retrieval. International Journal of Computer Vision 89(2-3), 177–192 (2010)CrossRefGoogle Scholar
  22. 22.
    Sfikas, K., Pratikakis, I., Theoharis, T.: 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, R.C. (eds.) 3DOR, pp. 25–32. Eurographics Association (2011)Google Scholar
  23. 23.
    Shih, J.L., Lee, C.H., Wang, J.T.: A new 3D model retrieval approach based on the elevation descriptor. Pattern Recognition 40(1), 283–295 (2007)CrossRefzbMATHGoogle Scholar
  24. 24.
    Shilane, P., Min, P., Kazhdan, M., Funkhouser, T.: The princeton shape benchmark. In: Proceedings of the Shape Modeling International 2004, SMI 2004, pp. 167–178. IEEE Computer Society, Washington, DC (2004)Google Scholar
  25. 25.
    Stavropoulos, T.G., Moschonas, P., Moustakas, K., Tzovaras, D., Strintzis, M.G.: 3D model search and retrieval from range images using salient features. IEEE Transactions on Multimedia 12(7), 692–704 (2010)CrossRefGoogle Scholar
  26. 26.
    Theoharis, T., Papaioannou, G., Platis, N., Patrikalakis, N.M.: Graphics and Visualization: Principles & Algorithms. A. K. Peters, Ltd., Natick (2007)Google Scholar
  27. 27.
    Vranic, D.V.: DESIRE: A composite 3D-shape descriptor. In: ICME, pp. 962–965. IEEE (2005)Google Scholar
  28. 28.
    Wahl, E., Hillenbrand, U., Hirzinger, G.: Surflet-pair-relation histograms: A statistical 3D-shape representation for rapid classification. In: 3DIM, pp. 474–481. IEEE Computer Society (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Konstantinos Sfikas
    • 1
  • Ioannis Pratikakis
    • 1
    • 2
  • Anestis Koutsoudis
    • 1
  • Michalis Savelonas
    • 1
  • Theoharis Theoharis
    • 3
    • 4
  1. 1.ATHENA Research and Innovation CenterXanthiGreece
  2. 2.Department of Electrical & Computer EngineeringDemocritus University of ThraceXanthiGreece
  3. 3.Department of Informatics and TelecommunicationsUniversity of AthensGreece
  4. 4.IDINorwegian University of Science and Technology (NTNU)Norway

Personalised recommendations