Face recognition based on ICA combined with FLD

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2359 LNCS, Issue , 2002, Pages 10-18

  Yi, Juneho ^a   Kim, Jongsun ^a   Choi, Jongmoo ^a   Han, Junghyun ^a   Lee, Eunseok ^a  

^a Sungkyunkwan University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

AUTHENTICATION; BIOMETRICS; DISCRIMINANT ANALYSIS; INDEPENDENT COMPONENT ANALYSIS;

EIGENFACES; FISHER LINEAR DISCRIMINANTS; FISHERFACE METHOD; LINEAR DISCRIMINANT ANALYSIS; SPECIFIC INFORMATION;

FACE RECOGNITION;

EID: 57949099774     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47917-1_2     Document Type: Conference Paper

References (17)

1. Bartlett, M. Stewart, Lades, H. Martin and Sejnowski, T.J., Independent component representations for face recognition, Proceedings of the SPIE, Vol. 3299: Conference on Human Vision and Electronic Imaging III, pp. 528-539, 1998.
2. Bartlett, M. Stewart and Sejnowski, T. J., Independent components of face images: A representation for face recognition, Proceedings of the 4th Annual Joint Symposium on Neural Computation, Pasadena, CA, May 17, 1997.
3. Bartlett, M. Stewart and Sejnowski, T.J., Viewpoint invariant face recognition using independent component analysis and attractor networks, In M. Mozer, M. Jordan, T. Petsche (Eds.), Advances in Neural Information Processing Systems 9, MIT Press, Cambridge, MA. pp. 817-823, 1997.
4. Guan, A.X. and Szu, H.H.A, A local face statistics recognition methodology beyond ICA and/or PCA, Neural Networks, IJCNN '99. International Joint Conference on, Vol. 2 1999.
5. C.Liu and H.Wechsler, Comparative assessment of independents component analysis(ICA) for face recognition, Second Int. Conf. Audio and Video-based Biometric person Authentication, pp.22-24, March 1999.
6. O. Déniz, M. Castrillón and M. Hernández, Face recognition using independent component analysis and support vector machines, IX Spanish Symposium on Pattern Recognition and Image Analysis, Castellón (Spain), May 2001.
7. Aapo Hyvarinen and Erki Oja, Independent component analysis: a tutorial, http://www.cis.hut.fi/~aapo/papers/IJCNN99-tutorialweb/1999.
8. A. Bell and Sejnowski, An information maximization approach to blind separation and blind deconvolution, Neural Computation 7, pp. 1129-1159, 1995.
9. M. A. Turk and A.P Pentland, Eigenfaces for recognition, Cognitive Neuroscience, vol.3, no.1, pp. 71-86, 1991, ftp://whitechapel.media.mit.edu/pub/ images/.
10. Oja, E., Karhunen, J.,Wang, L. and Vigario, R. Principal and independent components in neural networks-recent developments, Proc. Italian Workshop on Neural Networks, May 1995.
11. K. Fukunaga, Introduction to statistical pattern recognition, Academic Press, second edition, 1991.
12. A. Bell and Sejnowski, The independent components of natural scenes are edge filters, Advance in Neural Information Processing Systems 9, 1997.
13. J. Yi, H. Yang and Y. Kim, Enhanced fisherfaces for robust face recognition, Lecture Notes in Computer Science, Vol, 1811, pp. 502-511, May 2000.
14. P. Belhumeur, J. Hespanha, and D. Kriegman, Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE Trans. on PAMI, Vol. 19, no. 7, pp. 711-720, 1997.
15. http://vision.skku.ac.kr/research/skkuface.html.
16. http://cvc.yale.edu/projects/yalefaces/yalefaces.html
17. ftp://ftp.uk.research.att.com:pub/data/att-faces.zip