A framework of 2D Fisher discriminant analysis: Application to face recognition with small number of training samples

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn II, Issue , 2005, Pages 1083-1088

  Kong, Hui ^a   Wang, Lei ^a   Teoh, Earn Khwang ^a   Wang, Jian Gang ^b   Venkateswarlu, Ronda ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; MATRIX ALGEBRA; PROBLEM SOLVING; VECTORS;

2D FISHER DISCRIMINANT ANALYSIS (2D-FDA); ONE-DIMENSIONAL LINEAR DISCRIMINANT ANALYSIS (1D-LDA); PUBLIC DATABASES;

FACE RECOGNITION;

EID: 24644501794     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.30     Document Type: Conference Paper

References (11)

1. K. Fukunnaga, "Introduction to Statistical Pattern Recognition," Academic Press, second edition, 1991.
2. D.L. Swets and J. Weng, "Using Discriminant Eigenfeatures for Image Retrieval," IEEE Trans, on PAMI, 1996.
3. P.N. Belhurneur, J. Hespanha and D.J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection," IEEE Trans. on PAMI, 1997.
4. W. Zhao, "Discriminant Component Analysis for Face Recognition," In Proc. International Conference on Pattern Recognition, 2000.
5. L. Chen, H. Liao, M. Ko, J. Lin and G. Yu, "A New LDA-based Face Recognition System Which can Solve the Samll Sample Size Problem," Pattern Recognition, 2000.
6. H. Yu and J. Yang, "A direct Ida algorithm for high-dimensional data with application to face recognition," Pattern Recognition, 2001.
7. R. Huang, Q.S. Liu, H.Q. Lu and S.D. Ma, "Solving the Small Sample Size Problem of LDA," Proc. IEEE Conf. ICPR, 2002.
8. X. Wang and X. Tang, "Random sampling LDA for face recognition," Proc. IEEE Conf. CVPR, 2004.
9. X. Wang and X. Tang, "Dual-space linear discriminant analysis for face recognition," IEEE Conf. CVPR, June 2004.
10. H. Kong, L. Wang, E.K. Teoh, J.G. Wang and V. Ronda, "Generalized 2D Principal Component Analysis," to appear in IEEE Conf. IJCNN, Canada, 2005.
11. J. Yang, D. Zhang, A.F. Frangi and J. Yang, "Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition," IEEE Trans. on PAMI, 2004.