Modeling face appearance with nonlinear independent component analysis

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

Volumn , Issue , 2004, Pages 761-766

  Liu, Qingshan ^a   Cheng, Jian ^a   Lu, Hanqing ^a   Ma, Songde ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; HUMAN COMPUTER INTERACTION; INDEPENDENT COMPONENT ANALYSIS; MAPPING; NONLINEAR EQUATIONS; POLYNOMIALS; PRINCIPAL COMPONENT ANALYSIS; USER INTERFACES;

FACE APPEARANCE; FACE IMAGES; NONLINEAR KERNELS; NONLINEAR VARIATIONS;

FACE RECOGNITION;

EID: 4544335820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. W.Zhao, R.Chellappa, A.Rosenfeld and P.J.Phillips, Face Recognition: A Literature Survey, CS-Tech Report-4167, University of Maryland, 2000.
2. M.H.Yang, N.Ahuja, D.Kriegman Detecting faces in images: A survey, IEEE Trans. On Pattern Analysis and Machine Intelligence, 2002, 24(1): 34-58.
3. M.Turk and A.Pentland, Eigenfaces for recognition, Journal of Cognitive Neuroscience, 1991, 3(1): 72-86.
4. A.Pentland, B.Moghaddam, T.Starner, View-based and modular Eigenspaces for face recognition, In the proc. of Computer Vision and Pattern Recognition, Seattle, WA, USA, July, 1994.
5. B.Moghaddam, A.Pentland, Probabilistic visual learning for object representation, IEEE Trans. On Pattern Analysis and Machine Intelligence, 1997, 19(7): 696-710.
6. P.Comon, Independent component analysis: A new concept, Signal Processing, 1994, 36(3): 287-314.
7. A.Hyvarinen, Survey on independent component analysis, Neural Computing Surveys, Lawrence Erlbaum Associates, Inc, 1999, 2: 94-128.
8. M.S.Bartlett, H.M.Lades, T.J.Sejnowski, Independent component representations for face recognition, In the proc. of SPIE, 1998, 2399(3): 528-539.
9. A.J.Bell, T.J.Sejnowski, The independent components of natural scence are edge filters, Vision research, 1997, 37(23): 3327-3328.
10. Francis R.Bach and Michael I. Jordan, "Kernel Independent Component Analysis", Journal of Machine Learning Research, 2002, 3: 1-48.
11. S. Harmeling, A. Ziehe, M. Kawanabe, and K.R. Müller, Kernel-based nonlinear blind source separation. Neural Computation, 2003, 15:1089:1124.
12. C.Liu and H.Wechsler, Comparative Assessment of Independent Component Analysis (ICA) for Face Recognition, In the Proc. of. 2nd Intl' Conf. Audio and Video based Biometric Person Authentication, Washington DC, USA, 1999.
13. B.A.Draper, K.Baek, M.S.Bartlett and J.Ross.Beveridge, Recognizing Faces with PCA and ICA, to appear in Computer Vision and Image Understanding.
14. O.Deniz, M.Castrillon, M.Hernandez, Face recognition using independent component analysis and support vector machines, In the proc. of Int'l Conf. on Audio- and Video-Based Person Authentication. Lecture Notes, Halmstad, Sweden, June, 2001, 59-64.
15. Stan.Z.Li, Xiaoguang Lv, Hongjiang Zhang, View-based Clustering of Object Appearances Based on Independent Subspace Analysis, In the proc. Intl, Conf. Computer Vision, Canada, 2001, Vol.1, 295-300.
16. E.Osuna, R.Freund and F.Girosi. Support Vector Machines: Training and Applications, Tech Report AIM-1602, AI Lab, MIT, 1997.
17. B.Scholkopf, A.Smola, K.R.Muller, Nonlinear component analysis as a kernel Eigenvalue problem, Neural Computation, 1998, 10(5): 1299-1319.
18. M.H.Yang, N.Ahuja, D.Kriegman, Face recognition using kernel Eigenfaces, In the proc. of Int'l Conf. On Image Processing, Vancouver, Canada, September, 2000, 37-40.
19. K.I.Kin, K.Jung, H.J.Kim, Face recognition using kernel principal component analysis, IEEE Signal Processing Letters, 2002, 9(2): 40-42.
20. P.N.Belhumeur, J.P.Hespanha, D.J.Kriegman, Eigenfaces vs Fisherface: Recognition using class special linear projection, IEEE Trans. On Pattern Analysis and Machine Intelligence, 1997, 19(7): 711-720.
21. Q.S.Liu, R.Huang, H.Q.Lu, S.D.Ma, Face recognition using kernel based fisher discriminant analysis, In the proc. of Int'l Conf. Automatic Face and Gesture Recognition, Washington DC, USA, 2002, 197-201.
22. P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, The FERET database and evaluation procedure for face recognition algorithms, Image and Vision Computing, 1998, 16(5): 295-306.
23. http://www.itl.nist.gov/iad/humanid/feret/feret_master.html
24. A.M.Martinez, A.C.Kak, PCA versus LDA, IEEE Trans. on Pattern Analysis and Machine Intelligence, 2001, 23(2): 228-233.
25. J.R.Beveridge, K.She, B.Draper, G.H.Givens, A non-parametric statistical comparison of principal and linear discriminant subspaces for face recognition, In the proc. of Computer Vision and Pattern Recognition, Kauai, Hawaii, USA, 2001, 1: 535-542.