3-D head model retrieval using a single face view query

IEEE Transactions on Multimedia

Volumn 9, Issue 5, 2007, Pages 1026-1036

  Wong, Hau San ^a,b   Ma, Bo ^c   Yu, Zhiwen ^a,b   Yeung, Pui Fong ^b   Ip, Horace H S ^a,b  

^a IEEE   (Hong Kong)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

3 D model retrieval; Kernel principal component analysis; Neural network

Indexed keywords

ADAPTIVE MAPPING; FEATURE VECTORS; KERNEL PRINCIPAL COMPONENT ANALYSIS; VIRTUAL CHARACTERS;

ANIMATION; FEATURE EXTRACTION; MULTIMEDIA SERVICES; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; QUERY PROCESSING; THREE DIMENSIONAL COMPUTER GRAPHICS;

IMAGE RETRIEVAL;

EID: 34547415985     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2007.898915     Document Type: Article

References (43)

1. P. Min., "A 3-D Model Search. Engine," Ph.D. dissertation, Princeton Univ., Princeton, NJ, 2004.
2. T. Funkhouser, P. Min, M. Kazhdan, J. Chen, A. Halderman, and D. Dobkin, "A search engine for 3-D models," ACM Trans. Graph., vol. 21, no. 3, pp. 83-105, 2003.
3. M. T. Suzuki, Y. Yaginuma, and Y. Y. Sugimoto, "A 3-D model retrieval system, for cellular phones," in Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics, 2003, pp. 3846-3851.
4. H. S. Wong, K. K. T. Cheung, and H. H. S. Ip, "3D head model classification by evolutionary optimization of the extended Gaussian image representation," Pattern Recognit., vol. 37, pp. 2307-2322, 2004.
5. H. H. S. Ip and W. Y. F. Wong, "3D head models retrieval based on hierarchical facial region similarity," in Proc. 15th Int. Conf. on Vision Interface, 2002, pp. 314-319.
6. T. Hlavaty and V. Skala, "A survey of methods for 3-D model feature extraction," in Proc. Geometry and Graphics in Teaching Contemporary Engineer, Szczyrk, Poland, 2003, pp. 5-8, Bull. IV, Seminar 13/03.
7. S. Mahmoudi and M. Daoudi, "3D models retrieval by using characteristic views," in. Proc. Int. Conf. on Pattern Recognition, 2002, pp. 457-460.
8. M. Novotni and R. Klein, "3D Zernike descriptors for content based shape retrieval," in. Proc. ACM Symp. Solid Modeling and Applications, 2003, pp. 216-225.
9. M. Yu, I. Atmosukarto, W. K. Leow, Z. Huang, and R. Xu, "3D model retrieval with morphing-based geometric and topological feature maps," in Proc. Int. Conf. on Computer Vision and Pattern Recognition, 2003, pp. 656-661.
10. D. Keim, "Efficient geometry-based similarity search of 3-D spatial databases," Proc. ACM SIGMOD, pp. 419-430, 1999.
11. R. W. H. Lau and B. Wong, "Web-based 3-D geometry model retrieval," World Wide Web J., vol. 5, no. 3, pp. 193-206, 2002.
12. M. Novotni and R. Klein, "A geometric approach to 3-D object comparison," in Proc. Int. Conf. on Shape Modeling and Applications, 2001, pp. 167-175.
13. M. Hilaga, Y. Shinagawa, T. Kohmura, and T. Kunii, 'Topology matching for fully automatic similarity estimation of 3-D shapes," Proc. ACM SIGGRAPH, pp. 203-312, 2001.
14. D. Saupe and D. V. Vranic, "3D model retrieval with spherical harmonics and moments," in Proc. Pattern Recognition Symp. (DAGM 01), 2001, pp. 392-397.
15. D. V. Vranic, D. Saupe, and J. Richter, "Tools for 3-D object retrieval: Karhunen-Loeve transform and spherical harmonics," in Proc. IEEE 2001 Workshop on Multimedia Signal Processing, 2001, pp. 293-298.
16. L. Pastor, A. Rodrguez, J. M. Espadero, and L. Rincon, "3D waveletbased multiresolution object representation," Pattern Recognit., vol. 34, pp. 2497-2513, 200.1.
17. J. Draper, K. Baek, M. S. Bartlett, and J. R. Beveridge, "Recognizing faces with. PCA and ICA," Comput. Vis. Image Understand., vol. 91, pp. 115-137, 2003.
18. D. Q. Dai and P. C. Yuen, "Regularized discriminant analysis and its applications to face recognition," Pattern Recognit., vol. 36, pp. 95-101, 2003.
19. M. H. Yang, "Kernel eigenfaces versus kernel Fisherfaces: Face recognition using kernel methods," in Proc. 5th IEEE Int. Conf. on Automatic Face and Gesture Recognition, 2002, pp. 215-220.
20. Q. Liu, R. Huang, H. Lu, and S. Ma, "Face Recognition, using kernel based Fisher discriminant analysis," in Proc. 5th IEEE Int. Conf. on Automatic Face and Gesture Recognition, 2002, pp. 205-211.
21. B. Scholkopf, A. Smola, and K. Muller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol. 10, no. 5, pp. 1299-1319, 1998.
22. T. Kohonen, Self-Organizing Maps, 2nd ed. New York: SpringerVerlag, 1997.
23. R. D. Pascual-Marqui, A. D. Pascual-Montano, K. Kochi, and J. M. Carazo, "Smoothly distributed fuzzy c-means: A new self-organizing map," Pattern Recognit., vol. 34, pp. 2395-2402, 2001.
24. L. Villalobos and F. L. Merat, "3D modeling and indexing for CADbased object recognition," in Proc. IEEE Int. Conf. on Robotics and Automation, 1994, pp. 1965-1972.
25. J. C. Bezdek, R. Ehrlich, and W. Full, "FCM: Fuzzy c-means algorithm," Comput. Geosci., vol. 10, pp. 191-203, 1984.
26. Max Planck Institute for Biological Cybernetics, MPI Faces Database, 2004 [Online]. Available: http://faces.kyb.tuebingen.mpg.de/
27. V. Blanz and T. Vetter, "A morphable model for the synthesis of 3-D faces," Proc. ACM SIGGRAPH, pp. 187-194, 1999.
28. H. S. Wong, K. K. T. Cheung, Y. Sha, and H. H. S. Ip, "Indexing and retrieval of 3-D models by unsupervised clustering with hierarchical SOM," in Proc. Int. Conf. on Pattern Recognition, 2004, pp. 613-616.
29. K. K. T. Cheung, H. S. Wong, and H. H. S. Ip, "3D graphical model retrieval by evolutionary computation-based adaptive histogram binning," in Proc. Int. Conf. on Distributed Multimedia Systems, 2003, pp. 420-425.
30. C. M. Bishop, Neural Networks for Pattern Recognition. Oxford, U.K.: Oxford Univ. Press, 1995.
31. M. E. Tipping, "Sparse Bayesian learning and the relevance vector machine," J. Mach. Learn. Res., vol. 1, pp. 211-244, 2001.
32. V. Blanz and T. Vetter, "Face recognition based on fitting a 3-D morphable model," IEEE Trans. Pattern Anal. Machine Intell, vol. 25, no. 9, pp. 1-12, 2003.
33. D. MacKay, "Bayesian interpolation," Neural Comput., vol. 4, pp. 415-447, 1992.
34. S. H. Lin and S. Y. Kung, "Face recognition/detection by probabilistic decision-based neural network," IEEE Trans. Neural Networks, vol. 8, no. l, pp. 114-132, 1997.
35. B. Scholkopf and A. J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond. Cambridge, MA: MIT Press, 2002.
36. D. L. Davies and D. W. Bouldin, "A cluster separation measure," IEEE Trans. Pattern Anal. Machine Intell, vol. PAMI-1, no. 4, pp. 224-227, 1979.
37. I. T. Jollife, Principal Component Analysis. New York: SpringerVerlag, 1986.
38. K.-R. Mller, S. Mika, G. Rtsch, K. Tsuda, and B. Sch?lkopf, "An introduction to kernel-based learning algorithms," IEEE Trans. Neural Networks, vol. 12, no. 2, pp. 181-201, 2001.
39. R. Herbrich, Learning Kernel Classifiers. Cambridge, MA: MIT Press, 2002.
40. J. Shawe-Taylor and N. Cristianini, Kernel Methods for Pattern Analysis. Cambridge, U.K.: Cambridge Univ. Press, 2004.
41. M. F. Moller, "A scaled conjugate gradient algorithm for fast supervised learning," Neural Networks, vol. 6, pp. 525-533, 1993.
42. Y. Ma, X. Ding, Z. Wang, and N. Wang, "Robust precise eye location under probabilistic framework," in Proc. IEEE Int Conf. on Automatic Face and Gesture Recognition, 2004, pp. 339-344.
43. P. Wang and Q. Ji, "Learning discriminant features for multi-view face and eye detection," in Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2005, pp. 373-379.