Spherical correlation of visual representations for 3D model retrieval

International Journal of Computer Vision

Volumn 89, Issue 2-3, 2010, Pages 193-210

  Makadia, Ameesh ^a   Daniilidis, Kostas ^b  

^a GOOGLE INC   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

3D shape retrieval; Spherical Fourier transform; Visual similarity

Indexed keywords

3-D SHAPE; 3D CONTENT; 3D MODEL RETRIEVAL; 3D MODELS; 3D SHAPE RETRIEVAL; COMPUTATIONAL COSTS; DATA SETS; DESIGN SOFTWARES; INHERENT LIMITATIONS; MANUAL LABORS; NOVEL ALGORITHM; RANGE SENSORS; RENDERED IMAGES; SIMILARITY MEASURE; SPHERICAL FOURIER TRANSFORMS; VISUAL APPEARANCE; VISUAL REPRESENTATIONS; VISUAL SIMILARITY;

ALGORITHMS; CONTENT BASED RETRIEVAL; FOURIER TRANSFORMS; JOINTS (ANATOMY); SELF ORGANIZING MAPS; SIGNAL PROCESSING; SOFTWARE DESIGN; SPHERES; VISUALIZATION; WAVELET TRANSFORMS;

THREE DIMENSIONAL;

EID: 77953285875     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-009-0280-7     Document Type: Article

References (35)

1. AIM@SHAPE (2006). http://give-lab.cs.uu.nl/shrec/shrec2006/.
2. Ankerst, M., Kastenmüller, G., Kriegel, H. P., & Seidl, T. (1999). Nearest neighbor classification in 3D protein databases. In Proceedings of the seventh international conference on intelligent systems for molecular biology (pp. 34-43). Menlo Park: AAAI Press.
3. Arfken, G., & Weber, H. (1966). Mathematical methods for physicists. San Diego: Academic Press.
4. S. Belongie J. Malik J. Puzicha 2002 Shape matching and object recognition using shape contexts IEEE Transactions on Pattern Analysis and Machine Intelligence 24 4 509 522 10.1109/34.993558 (Pubitemid 34448769)
5. G. Burel H. Henoco 1995 Determination of the orientation of 3D objects using spherical harmonics Graphical Models and Image Processing 57 5 400 408 10.1006/gmip.1995.1034
6. Chen, D.-Y., Tian, X.-P., & Ouhyoung, Y. T. S. M. (2003). On visual similarity based 3D model retrieval. In Eurographics.
7. J. Driscoll D. Healy 1994 Computing Fourier transforms and convolutions on the 2-sphere Advances in Applied Mathematics 15 202 250 0801.65141 10.1006/aama.1994.1008 1277214
8. Frome, A., Huber, D., Kolluri, R., Bulow, T., & Malik, J. (2004). Recognizing objects in range data using regional point descriptors. In Proceedings of the European conference on computer vision (ECCV).
9. T. Funkhouser P. Min M. Kazhdan J. Chen A. Halderman D. Dobkin D. Jacobs 2003 A search engine for 3D models ACM Transactions on Graphics 22 1 83 105 10.1145/588272.588279 (Pubitemid 44769059)
10. B. K. P. Horn 1984 Extended gaussian images IEEE 72 1671 1686 10.1109/PROC.1984.13073
11. Johnson, A. (1997). Spin-images: A representation for 3-D surface matching. Ph.D. thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh.
12. A. E. Johnson M. Hebert 1999 Using spin images for efficient object recognition in cluttered 3D scenes IEEE Transactions on Pattern Analysis and Machine Intelligence 21 5 433 449 10.1109/34.765655
13. Kang, S. B., & Ikeuchi, K. (1991). Determining 3-D object pose using the complex extended gaussian image. In Proceedings of the 1991 IEEE computer society conference on computer vision and pattern recognition (CVPR '91).
14. M. Kazhdan 2007 An approximate and efficient method for optimal rotation alignment of 3D models IEEE Transactions on Pattern Analysis and Machine Intelligence 29 7 1221 1229 10.1109/TPAMI.2007.1032 (Pubitemid 46825071)
15. Kazhdan, M., Funkhouser, T., & Rusinkiewicz, S. (2003). Rotation invariant spherical harmonic representation of 3D shape descriptors. In Symposium on geometry processing.
16. Kortgen, M., Park, G. J., Novotni, M., & Klein, R. (2003). 3D shape matching with 3D shape contexts. In The 7th Central European seminar on computer graphics.
17. Kostelec, P. J., & Rockmore, D. N. (2003). FFTs on the rotation group. In Working paper series, Santa Fe Institute.
18. J. A. Kovacs W. Wriggers 2002 Fast rotational matching Biological Crystallography 58 1282 1286 10.1107/S0907444902009794 (Pubitemid 34877910)
19. Lowe, D. G. (1999). Object recognition from local scale-invariant features. In ICCV '99: proceedings of the international conference on computer vision (Vol. 2, p. 1150). Washington: IEEE Computer Society.
20. Makadia, A., & Daniilidis, K. (2003). Direct 3D-rotation estimation from spherical images via a generalized shift theorem. In IEEE conference on computer vision and pattern recognition. Wisconsin, June 16-22.
21. A. Makadia K. Daniilidis 2006 Rotation recovery from spherical images without correspondences IEEE Transactions on Pattern Analysis and Machine Intelligence 28 7 1170 1175 10.1109/TPAMI.2006.150
22. Makadia, A., Sorgi, L., & Daniilidis, K. (2004). Rotation estimation from spherical images. In ICPR '04: proceedings of the pattern recognition, 17th international conference on (ICPR'04) (Vol. 3, pp. 590-593). Washington: IEEE Computer Society.
23. Makadia, A., Visontai, M., & Daniilidis, K. (2007). Harmonic silhouette matching for 3D models. In 3DTV. Kos.
24. Novotni, M., & Klein, R. (2003). 3D Zernike descriptors for content based shape retrieval. In SM '03: Proceedings of the eighth ACM symposium on solid modeling and applications (pp. 216-225). New York: ACM.
25. Ohbuchi, R., Minamitani, T., & Takei, T. (2003). Shape-similarity search of 3D models by using enhanced shape functions. In TPCG '03: Proceedings of the theory and practice of computer graphics (p. 97). Washington: IEEE Computer Society.
26. Ohbuchi, R., Osada, K., Furuya, T., & Banno, T. (2008). Salient local visual features for shape-based 3D model retrieval. In IEEE international conference on shape modeling & applications.
27. Osada, R., Funkhouser, T., Chazelle, B., & Dobkin, D. (2001). Matching 3D models with shape distributions. In SMI '01: proceedings of the international conference on shape modeling & applications (pp. 154-166). Washington: IEEE Computer Society.
28. Saupe, D., & Vranic, D. V. (2001). 3D model retrieval with spherical harmonics and moments. In Proceedings of the 23rd DAGM-symposium on pattern recognition (pp. 392-397). London: Springer.
29. Shilane, P., Min, P., Kazhdan, M., & Funkhouser, T. (2004). The Princeton shape benchmark. In Shape modeling international. Genova, Italy.
30. J. W. Tangelder R. C. Veltkamp 2008 A survey of content based 3d shape retrieval methods Multimedia Tools Application 39 3 441 471 10.1007/s11042-007- 0181-0
31. Thurston, W. P. (1997). Three-dimensional geometry and topology. Princeton: Princeton University Press.
32. Typke, R., Veltkamp, R. C., & Wiering, F. (2006). Evaluating retrieval techniques based on partially ordered ground truth lists. In Proceedings international conference on multimedia & expo.
33. Veltkamp, R. C., Ruijsenaars, R., Spagnuolo, M., van Zwol, R., & ter Haar, F. (2006). Shrec2006 3d shape retrieval contest. Technical report, Utrecht University.
34. Vranic, D. V. (2003). An improvement of rotation invariant 3D shape descriptor based on functions on concentric spheres. In Proceedings of international conference on image processing (pp. 757-760).
35. Zhang, D. S., & Lu, G. (2002). An integrated approach to shape based image retrieval. In Proc. of 5th Asian conference on computer vision (ACCV) (pp. 652-657). Melbourne.