Unsupervised learning from a corpus for shape-based 3D model retrieval

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue , 2006, Pages 163-172

  Ohbuchi, Ryutarou ^a   Kobayashi, Jun ^a  

^a UNIVERSITY OF YAMANASHI   (Japan)

Author keywords

Content based retrieval; Manifold learning; Shape based 3D model retrieval

Indexed keywords

COMPUTATION THEORY; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; LAPLACE EQUATION; OPTICAL RESOLVING POWER;

MANIFOLD LEARNING; MULTIRESOLUTION SHAPE FEATURES; SHAPE-BASED 3D MODEL RETRIEVAL;

CONTENT BASED RETRIEVAL;

EID: 34547434150     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1178677.1178701     Document Type: Conference Paper

References (28)

1. I. Atmosukarto, W.K. Leow, Z. Huang, Feature Combination and Relevance Feedback for 3D Model Retrieval, Proc. MMM 2005, pp. 334-339, (2005).
2. R. Baeza-Yates, B. Ribiero-Neto, Modern information retrieval, Addison-Wesley (1999).
3. M. Belkin, P. Niyogi, Laplacian eigenmaps for dimensionality reduction and data representation, Neural Computation 15, pp. 1373-1396, (2003).
4. P. Bratley, B. L. Fox, H. Niederreiter, Algorithm 738: Programs to Generate Niederreiter's Low-discrepancy Sequences, ACM TOMS Algorithm 738.
5. B. Bustos, D. Keim, D. Saupe, T. Schreck, D. Vranić, Automatic Selection and Combination of Descriptors for Effective 3D Similarity Search, Proc. IEEEMCBAR'04, pp. 514-521,(2004).
6. Chen, S., C.F.N. Cowan, P. M. Grant, Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks, IEEE Trans. on Neural Networks, 2(2), pp. 302-309, (1991)
7. D.-Y. Chen, X.-P. Tian, Y.-T. Shen, M. Ouhyoung, On Visual Similarity Based 3D Model Retrieval, Computer Graphics Forum, 22(3), pp. 223-232, (2003).
8. H. Edelsbrunner, E. P. Mücke, Three-dimensional Alpha Shapes, ACM TOG, 13(1), pp. 43-72, (1994).
9. M. Elad, A. Tal, S. Ar., Content based retrieval of vrml objects - an iterative and interactive approach, Proc. EG Multimedia 39, pp. 97-108, (2001).
10. S. Haykin, Neural network a comprehensive foundation, Second Edition, Prentice Hall, 842pages, (1999).
11. Xiaofei He, Wei-Ying Ma, Hong-jiang Zhang: Learning an Image Manifold for Retrieval, Proc. ACMMultimedia 2004, pp. 17-23 (2004).
12. Iyer, N., Kalyanaraman, Y., Lou, K., Jayanti, S., Ramani, K., A Reconfigurable, Intelligent 3D Engineering Shape Search System Part I: Shape Representation, Proc. ASME DETC '03, 23rd CIE Conf. (2003).
13. M. Iyer, S. Jayanti, K. Lou, Y. Kalyanaraman, K. Ramani, Three Dimensional Shape Searching: State-of-the-art Review and Future Trends, Computer Aided Design, 5(15), pp. 509-530, (2005).
14. G. Leifman, R. Meir, A. Tal, Semantic-oriented 3d shape retrieval using relevance feedback, The Visual Computer (Pacific Graphics), 21(8-10), pp. 865-875, October 2005.
15. Rong Liu, Varun Jain, Hao Zhang, Sub-sampling for Efficient Spectral Mesh Processing, Proc. CGI 2006, LNCS 4035, pp. 172-184, Springer-Verlag, (2006).
16. M. Novotni, G.-J. Park, R. Wessel, R. Klein Evaluation of Kernel Based Methods for Relevance Feedback in 3D Shape Retrieval, Proc. The Fourth International Workshop on Content-Based Multimedia Indexing (CBMI'05), (2005).
17. NTU 3D Model Database ver.1 http://3d.csie.ntu.edu.tw/
18. R. Ohbuchi, T. Takei, Shape-Similarity Comparison of 3D Shapes Using Alpha Shapes, Proc. PG 2003, pp. 293-302, (2003).
19. Ryutarou Ohbuchi, Takahiro Minamitani, Tsuyoshi Takei, Shape-similarity search of 3D models by using enhanced shape functions, International Journal of Computer Applications in Technology (IJCAT), 23(3/4/5), pp. 70-85, (2005).
20. Ryutarou Ohbuchi, Yushin Hata, Combining Multiresolution Shape Descriptors for 3D Model Retrieval, Proc WSCG 2006 (2006).
21. R. Osada, T. Funkhouser, B. Chazelle, D. Dobkin, Shape Distributions, ACM TOG, 21(4), pp. 807-832, (2002).
22. W. H. Press et al., Numerical Recipes in C-The Art of Scientific Programming, 2nd Ed., Cambridge University Press, Cambridge, UK, 1992.
23. S.T. Roweis, L.K. Saul, Nonlinear Dimensionality Reduction by Locally Linear Embedding, Science, 290(5500), pp. 2323-2326, (2000).
24. P. Shilane, P. Min, M. Kazhdan, T. Funkhouser, The Princeton Shape Benchmark, Proc. SMI '04, pp. 167-178, (2004). http://shape.cs.princeton. edu/search.html
25. J. Tangelder, R. C. Veltkamp, A Survey of Content Based 3D Shape Retrieval Methods, Proc. SMI '04, pp. 145-156.
26. J. B. Tanenbaum, V. de Silva, J.C. Langford, A Global Geometrie Framework for Nonlinaer Dimensionality Reduction, Science, 290(5500), pp. 2319-2323, (2000).
27. R. C. Veltkamp, R. Ruijsenaars, Michela Spagnuolo, R. Van Zwol, F. ter Haar, SHREC2006 3D Shape Retrieval Contest, Utrecht University Dept. Information and Computing Sciences Technical Report UU-CS-2006-030 (ISSN: 0924-3275) http://give-lab.cs.uu.nl/shrec/shrec2006/index.html
28. E. Wahl, U. Hillenbrand, G. Hirzinger, Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification, Proc. 3DIM 2003, pp. 474-481, (2003).