Independent component analysis in a facial local residue space

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2003, Pages

  Kim, Tae Kyun ^a,b   Kim, Hyunwoo ^a   Whang, Wonjun ^a   Kee, Seok Cheol ^a   Kittler, Josef ^b  

^a Samsung Advanced Institute of Technology (SAIT)   (South Korea)

^b UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; IMAGE CODING; IMAGE RECONSTRUCTION; INDEPENDENT COMPONENT ANALYSIS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS;

FACIAL LOCAL RESIDUE SPACE; FEATURE SELECTION; LINEAR ENCODING;

FACE RECOGNITION;

EID: 17944387900     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. M.S. Bartlett and T.J. Sejnowski, "Independent component representations for face recognition", SPIE Conf. On Human Vision and Electronic Imaging III, vol. 3299, pp. 528-539, San Jose, Jan. 1998.
2. Recently appear in M.S. Bartlett, J.R. Movellan and T.J. Sejnowski, "Face recognition by ICA", IEEE Trans. on Neural Networks, vol. 13, no. 6, Nov. 2002.
3. T.W. Lee, M. Girolami and T.J. Sejnowski, "Independent Component Analysis using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources", Neural Computation, vol. 11(2), pp. 417-441, 1999.
4. A. X. Guan and H. H. Szu, "Local Face Statistics Recognition Methodology beyond ICA and/or PCA", International Joint Conference on Neural Networks, vol. 2, pp. 1016-1021, Washington, DC, 1999.
5. N. Kwak, C. Choi and N. Ahuja, "Face recognition using feature extraction based on independent component analysis", International Conference on Image Processing, Rochester, New York, Sept. 2002.
6. B. Fasel and J. Luettin, "Recognition of Asymmetric Facial Action Unit Activities and Intensities", International Conference on Pattern Recognition, vol. 1, pp. 1100-1103, Barcelona, Spain, 2000.
7. B. Moghaddam, Principal Manifolds and Bayesian Subspaces for Visual Recognition, IEEE International Conference on Computer Vision, vol. 2, pp. 1131-1136, Kerkyra, Greece, Sept. 1999.
8. B. Moghaddam, W. Wahid and A. Pentland, "Beyond Eigenfaces: Probabilistic Matching for Face Recognition", IEEE International Conference on Automatic Face and Gesture Recognition, pp. 30-35, Nara, Japan, 1998.
9. B. Moghaddam, and A. Pentland, "Probabilistic visual learning for object representation", IEEE Trans. on PAMI, vol. 19, no. 7, pp. 696-710, July 1997.
10. Hyun-Chul Kim, Daijin Kim, Sung Yang Bang, "Face Retrieval Using 1st- and 2nd-order PCA Mixture Model", International Conference on Image Processing, Rochester, New York, Sept. 2002.
11. L. Wang, and T. K. Tan, "Experimental Results of Face Description Based on the 2nd-order Eigenface Method", ISO/IEC JTC1/SC21/WG11/M6001, Geneva, May 2000.
12. Kah-Kay Sung and Tomaso Poggio, "Example-based learning for view-based human face detection", IEEE Trans. on PAMI, vol. 20, no. 1, pp. 39-51, Jan. 1998.
13. A. Nefian and M. Hayes. "An embedded hmm-based approach for face detection and recognition," In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 6, pages 3553-3556, 1999.
14. B. Heisele, P. Ho, and T. Poggio, "Face Recognition with Support Vector Machines: Global versus Component-based Approach," In Proc. IEEE International Conference on Computer Vision, 2001.
15. T. Kamei, "The MPEG-7 Face Dataset," TM-TK-MPEG001, Jan 18, 2002.