Shannon wavelet kernel based subspace LDA approach in face recognition

2006 International Conference on Computational Intelligence and Security, ICCIAS 2006

Volumn 1, Issue , 2006, Pages 708-713

  Chen, Wen Sheng ^a,b,d   Fang, Bin ^c   Yuen, Pong Chi ^d   Lai, Jian Huang ^e  

^a SHENZHEN UNIVERSITY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c CHONGQING UNIVERSITY   (China)

^d HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^e SUN YAT SEN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; FACE RECOGNITION; LIGHTING; NONLINEAR SYSTEMS;

LDA (SWKSLDA) ALGORITHM; LDA-BASED METHODS; SHANNON WAVELET KERNEL;

WAVELET ANALYSIS;

EID: 38549132276     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIAS.2006.294226     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 Transactions on Pattern Analysis and Machine Intelligence, 19(7):711-720, 1997.
2. G. Baudat and F. Anouar. Generalized discriminant analysis using a kernel approach. Neural Computation, 12(10):2385-2404, 2000.
3. H. Yu and J. Yang. A direct LDA algorithm for high-dimensional data - with application to face recogniion. Pattern Recognition, 34(10): 2067-2070, 2001.
4. A. M. Martinez, A. C. Kak. PCA versus LDA. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(2):228-233, 2001.
5. J. W. Lu, K. N. Plataniotis, A. N. Venetsanopoulos. Face recognition using LDA-based algorithms. IEEE Transactions on Neural Networks, 14(1): 195 - 200, 2003.
6. J. Lu, K. N. Plataniotis and A. N. Ventsanopoulos. Face recognition using kernel discriminant analysis algorithms. IEEE Trans. on Neural Network, 14(1): 117-126, 2003.
7. W. S. Chen, P. C. Yuen, J. Huang. A New Regularized Linear Discriminant Analysis Methods to Solve Small Sample Size Problems. Int. J. Pattern Recognit. Artif. lntell., 19(7): 917-936, 2005.
8. J. Huang, P. C. Yuen, W. S. Chen and J. H. Lai. Component-based subspacec linear discriminant analysis method for recognition of face images with one training sample. Optical Engineering, 44(5), 2005.
9. J.Yang, A. F. Frangi, J. Y. Yang, D. Zhang and Z. Jin. KPCA plus LDA: a complete kernel Fisher Discriminant framework for feature extraction and recognition. IEEE Trans. Pattern Anal. Mach. Intell, 27(2): 230-244, 2005.
10. W. S. Chen, P. C. Yuen, J. Huang and D. Q. Dai. Kernel machine-based one-parameter regularized Fisher discriminant method for face recognition. IEEE Transactions on Systems, Man and Cybernetics, Part B, 35(3):659-669, 2005.
11. W. S. Chen, P. C. Yuen, J. Huang and J. H. Lai. Face Classification based on Shannon Wavelet Kernel and Modified Fisher Criterion. Proceeding of the 7th IEEE international conference on automatic face and gesture recognition, 467-474, April, 2006.
12. J. P. Ye, Q. Li. A two-stage linear discriminant analysis via QR-decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(6): 929-941, 2005.
13. S. N. Pang, S. Ozawa, N. Kasabov. Incremental linear discriminant analysis for classification of data streams. IEEE Transactions on Systems, Man and Cybernetics, Part B, 35(5): 905-914, 2005.
14. H. L. Xiong, M. N. S. Swamy, M. O. Ahmad. Two-dimensional FLD for face recognition. Pattern Recognition, 38(7): 1121-1124, 2005.
15. S. Mallat. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Pattern Anal. and Machine Intell., 11(7): 674-693, 1989.
16. Y. Meyer. Wavelets and operators. Cambridge Univ. Press, 1993.