A novel subspace LDA algorithm for recognition of face images with illumination and pose variations

Proceedings of 2004 International Conference on Machine Learning and Cybernetics

Volumn 6, Issue , 2004, Pages 3589-3594

  Huang, Jian ^a   Yuen, Pong C ^a   Chen, Wen Sheng ^a,b  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^b SHENZHEN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; EIGENVALUES AND EIGENFUNCTIONS; IMAGE RECONSTRUCTION; LIGHTING; LINEAR EQUATIONS; MATRIX ALGEBRA; PROBLEM SOLVING; SET THEORY; THEOREM PROVING;

BENCHMARKS; FISHER INDEX; LINEAR DISCRIMINANT ANALYSIS (LDA); POSE VARIATIONS;

FACE RECOGNITION;

EID: 6344243358     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. P. N. Belhumeur, J.P. Hespanha, D.J. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection", IEEE Trans. Pattern Anal. Mach. Intell., Vol. 19, No. 7, pp. 711-720, 1997
2. 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.
3. 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, Vol. 33, No. 10, pp.1713-1726, 2000.
4. Z. Jin, J. Y. Yang, Z. S. Hu and Z. Lou, Face recognition based on the uncorrelated discriminant transform, Pattern Recognition, Vol. 34, pp. 1405-1416, 2001.
5. R Huang, Q Liu, H Lu and S Ma, "Solving small sample size problem in LDA", Proceeding of International Conference in Pattern Recognition (ICPR 2002), Vol. 3, Aug 2002.
6. J Yang, J Y Yang and D Zhang, "What's wrong with Fisher Criterion", Pattern Recognition, Vol. 35, pp. 2665-2668, 2002.
7. B. Noble, J.W.Daniel, Applied Linear Algebra, Prentice-Hall, Englewood Cliffs, NJ, 1992.
8. M Turk and A Pentland, "Eigenfaces for recognition", Journal of Cognitive Neuroscience, Vol. 3, No.1, pp. 71-86, 1991
9. A. Georghiades, P. Belhumeur, D. Kriegman, "From Few to Many: Illumination Cone Models for Face Recognition under Variable lighting and Pose", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, pp.643-660