Abstract

Face recognition subjected to various conditions is a challenging task. This paper presents a combined feature improved Fisher classifier method for face recognition. Both of the facial holistic information and local information are used for face representation. In addition, the improved linear discriminant analysis (I-LDA) is employed for good generalization capability. Experiments show that the method is not only robust to moderate changes of illumination, pose and facial expression but also superior to the traditional methods, such as eigenfaces and Fisherfaces.

© 2005 Chinese Optics Letters

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  1. W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, ACM Computing Surveys 35, 399 (2003).
  2. P. Belhumeur, J. Hespanha, and D. Kriegman, IEEE Trans. PAMI 19, 711 (1997).
  3. C. Liu and H. Wechsler, IEEE Trans. Image Processing 11, 467 (2002).
  4. D. Zhou and X. Yang, in Lecture Notes in Computer Science 3212 A. Campilho and M. Kamel (eds.) (Springer-Verlag, Berlin Heidelberg, 2004) P692.
  5. Z. M. Hafed and M. D. Levine, International J. Computer Vision 43, 167 (2001).
  6. M. A. Turk and A. P. Pentland, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 586 (1991).

2003

W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, ACM Computing Surveys 35, 399 (2003).

2002

C. Liu and H. Wechsler, IEEE Trans. Image Processing 11, 467 (2002).

2001

Z. M. Hafed and M. D. Levine, International J. Computer Vision 43, 167 (2001).

1997

P. Belhumeur, J. Hespanha, and D. Kriegman, IEEE Trans. PAMI 19, 711 (1997).

Belhumeur, P.

P. Belhumeur, J. Hespanha, and D. Kriegman, IEEE Trans. PAMI 19, 711 (1997).

Chellappa, R.

W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, ACM Computing Surveys 35, 399 (2003).

Hafed, Z. M.

Z. M. Hafed and M. D. Levine, International J. Computer Vision 43, 167 (2001).

Hespanha, J.

P. Belhumeur, J. Hespanha, and D. Kriegman, IEEE Trans. PAMI 19, 711 (1997).

Kriegman, D.

P. Belhumeur, J. Hespanha, and D. Kriegman, IEEE Trans. PAMI 19, 711 (1997).

Levine, M. D.

Z. M. Hafed and M. D. Levine, International J. Computer Vision 43, 167 (2001).

Liu, C.

C. Liu and H. Wechsler, IEEE Trans. Image Processing 11, 467 (2002).

Phillips, P. J.

W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, ACM Computing Surveys 35, 399 (2003).

Rosenfeld, A.

W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, ACM Computing Surveys 35, 399 (2003).

Wechsler, H.

C. Liu and H. Wechsler, IEEE Trans. Image Processing 11, 467 (2002).

Zhao, W.

W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, ACM Computing Surveys 35, 399 (2003).

ACM Computing Surveys

W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, ACM Computing Surveys 35, 399 (2003).

IEEE Trans. Image Processing

C. Liu and H. Wechsler, IEEE Trans. Image Processing 11, 467 (2002).

IEEE Trans. PAMI

P. Belhumeur, J. Hespanha, and D. Kriegman, IEEE Trans. PAMI 19, 711 (1997).

International J. Computer Vision

Z. M. Hafed and M. D. Levine, International J. Computer Vision 43, 167 (2001).

Other

M. A. Turk and A. P. Pentland, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 586 (1991).

D. Zhou and X. Yang, in Lecture Notes in Computer Science 3212 A. Campilho and M. Kamel (eds.) (Springer-Verlag, Berlin Heidelberg, 2004) P692.

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