Intra-personal kernel space for face recognition

Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Volumn , Issue , 2004, Pages 235-240

  Zhou, Shaohua Kevin ^a   Chellappa, Rama ^a   Moghaddam, Baback ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FERET; INTRA-PERSONAL SPACE (IPS); KERNEL SPACE; PROBABILISTICS;

ALGORITHMS; CONFORMAL MAPPING; DATABASE SYSTEMS; ERROR ANALYSIS; IMAGE PROCESSING; LIGHTING; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; VECTORS;

FACE RECOGNITION;

EID: 4544340561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AFGR.2004.1301537     Document Type: Conference Paper

References (20)

1. F. Bach and M. I. Jordan. Kernel independent component analysis. Technical Report CSD-01-1166, Computer Science Division, University of California, Berkeley, 2001.
2. G. Baudat and F. Anouar. Generalized discriminant analysis using a kernel approach. Neural Computation, 12(10):2385-2404, 2000.
3. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Trans. PAMI, 19, 1997.
4. R. Chellappa, C. L. Wilson, and S. Sirohey. Human and machine recognition of faces, a survey. Proceedings of IEEE, 83:705-740, 1995.
5. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the em algorithm. J. Roy. Statist. Soc. B, 1977.
6. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley-Interscience, 2001.
7. K. Etemad and R. Chellappa. Discriminant analysis for recognition of human face images. Journal of Optical Society of America A, pages 1724-1733, 1997.
8. A. Hyvarinen. Survey on independent component analysis. Neural Computing Surveys, 2:94-128, 1999.
9. M. Kirby and L. Sirovich. Application of karhunen-loéve procedure of the characterization of human faces. IEEE Transaction on Pattern Analysis and Machine Intelligence, 12(1): 103-108, 1990.
10. J. Mercer. Functions of positive and negative type and their connection with the thoery of integral equations. Philos. Trans. Roy. Soc. London, A 209:415-446, 1909.
11. B. Moghaddam. Principal manifolds and probabilistic subspaces for visual recognition. IEEE Trans. PAMI, 24(6):780-788, 2002.
12. B. Moghaddam, T. Jebara, and A. Pentland. Bayesian modeling of facial similarity. Advances in Neural Information Processing System, 1998.
13. B. Moghaddam and A. Pentland. Probabilistic visual learning for object representation. IEEE Trans. PAMI, 19(7): 696-710, 1997.
14. P. J. Philipps, H. Moon, S. Rivzi, and P. Ross. The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. PAMI, 22:1090-1104, 2000.
15. B. Schölkopf, A. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10(5): 1299-1319, 1998.
16. M. Tipping. Sparse kernel prinicipal component analysis. NIPS, 2001.
17. M. Tipping and C. Bishop. Probabilistic principal component analysis. Journal of the Royal Statistical Society, Series B, 61(3):611-622, 1999.
18. M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neutoscience, 3:72-86, 1991.
19. M.-H. Yang. Face recognition using kernel methods. NIPS, 2001.
20. M.-H. Yang. Kernel eigenfaces vs. kernel fisherfaces: Face recognition using kernel methods. Proc. of Intl. Conf. on Face and Gesture Recognition, 2002.