A maximum uncertainty LDA-based approach for limited sample size problems - With application to face recognition

Brazilian Symposium of Computer Graphic and Image Processing

Volumn 2005, Issue , 2005, Pages 89-96

  Thomaz, Carlos E ^a   Gillies, Duncan F ^b  

^a Department of Electrical Engineering   (Brazil)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; IMAGE RECONSTRUCTION; LINEAR SYSTEMS; SYSTEM STABILITY;

FACE DATABASES; FERET; LINEAR DISCRIMINANT ANALYSIS (LDA);

FACE RECOGNITION;

EID: 33847312745     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2005.6     Document Type: Conference Paper

References (16)

1. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection", IEEE PAMI, 19 (7), pp. 711-720, 1997.
2. L. Chen, H. Liao, M. Ko, J. Lin, and G. Yu, "A new LDA-based face recognition system which can solve the small sample size problem", Pattern Recognition, 33 (10), pp. 1713-1726, 2000.
3. P.A. Devijver and J. Kittler, Pattern Classification: A Statistical Approach. Prentice-Hall, 1982.
4. J.H. Friedman, "Reguralized Discriminant Analysis", JASA, vol. 84, no. 405, pp. 165-175, 1989.
5. K. Fukunaga, Introduction to Statistical Pattern Recognition, second edition. Academic Press, 1990.
6. A. K. Jain and B. Chandrasekaran, "Dimensionality and Sample Size Considerations in Pattern Recognition Practice", Handbook of Statistics, 2, pp. 835-855, 1982.
7. A. K. Jain, R. P. W. Duin and J. Mao, "Statistical Pattern Recognition: A Review", IEEE PAMI, 22 (1), 4-37, 2000.
8. K. Liu et al., "Algebraic feature extraction for image recognition based on an optimal discriminant criterion", Pattern Recognition, 26 (6), pp. 903-911, 1993.
9. W.S. Rayens, "A Role for Covariance Stabilization in the Construction of the Classical Mixture Surface", Journal of Chemometrics, vol. 4, pp. 159-169, 1990.
10. A. Samal and P. Iyengar, "Automatic Recognition and Analysis of Human Faces and Facial Expressions: A Survey", Pattern Recognition, 25 (1), pp. 65-77, 1992.
11. D. L. Swets and J. J. Weng, "Using Discriminant Eigenfeatures for Image Retrieval", IEEE PAMI, 18 (8), pp. 831-836, 1996.
12. C. E. Thomaz, D. F. Gillies and R. Q. Feitosa. "A New Covariance Estimate for Bayesian Classifiers in Biometrie Recognition", IEEE CSVT, 14 (2), pp. 214-223, 2004.
13. J. Yang and J. Yang, "Optimal FLD algorithm for facial feature extraction", SPIE IRCV, 4572, pp. 438-444, 2001.
14. J. Yang and J. Yang, "Why can LDA be performed in PCA transformed space? ", Pattern Recognition, vol. 36, pp. 563-566, 2003.
15. H. Yu and J. Yang, "A direct LDA algorithm for high dimensional data - with application to face recognition", Pattern Recognition, vol. 34, pp. 2067-2070, 2001.
16. W. Zhao, R. Chellappa and A. Krishnaswamy, "Discriminant Analysis of Principal Components for Face Recognition", in Proc. International Conference on Automatic Face and Gesture Recognition, 336-341,1998.