Complete discriminant evaluation and feature extraction in kernel space for face recognition

Machine Vision and Applications

Volumn 20, Issue 1, 2009, Pages 35-46

  Jiang, Xudong ^a   Mandal, Bappaditya ^a   Kot, Alex ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Face recognition; Feature extraction; Kernel discriminant analysis; Subspace methods

Indexed keywords

FEATURE EXTRACTION;

DISCRIMINANT EVALUATION; EIGEN SPACE; EIGENFEATURES; EIGENVALUES; EIGENVECTORS; FACE IMAGES; FACE RECOGNITION METHODS; FEATURE REPRESENTATION; KERNEL DISCRIMINANT ANALYSIS; KERNEL SPACES; SUBSPACE METHODS; TRAINING SAMPLES; WEIGHTING FUNCTIONS;

FACE RECOGNITION;

EID: 53649096121     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-007-0103-1     Document Type: Article

References (35)

1. Georgia tech face database. http://www.anefian.com/face_reco.htm
2. Beveridge, R., Bolme, D., Teixeira, M., Draper, B.: The csu face identification evaluation system users guide: Version 5.0. Technical Report: http://www.cs.colostate.edu/evalfacerec/data/normalization.html (2003)
3. H. Cevikalp M. Neamtu M. Wilkes A. Barkana 2005 Discriminative common vectors for face recognition IEEE Trans. Pattern Anal. Mach. Intell. 27 1 4 13
4. L.F. Chen H.Y.M. Liao M.T. Ko J.C. Lin G.J. Yu 2000 A new lda-based face recognition system which can solve the small sample size problem Pattern Recogn. 33 10 1713 1726
5. W.S. Chen P.C. Yuen J. Huang D.Q. Dai 2005 Kernel machine-based one-parameter regularized fisher discriminant method for face recognition IEEE Trans. Syst. Man Cybern. Part B 35 4 659 669
6. J.H. Friedman 1989 Regularized discriminant analysis J. Am. Stat. Assoc. 84 405 165 175
7. Fukunaga K. (1990). Introduction to Statistical Pattern Recognition. Academic, San Diego
8. Gupta, H., Agarwal, A.K., Pruti, T., Shekhar, C., Chellappa, R.: An experiment evaluation of linear and kernel-based methods for face recognition. IEEE Workshop Appl. Comput. Vis. (2002)
9. X.D. Jiang B. Mandal A. Kot 2006 Enhanced maximum likelihood face recognition IEE Elect. Lett. 42 19 1089 1090
10. Jiang, X.D., Mandal, B., Kot, A.: Eigenfeature regularization and extraction in face recognition. IEEE Trans. Pattern Anal. Machine Intell. 30, DOI: 10.1109/TPAMI.2007.70,708 (2008)
11. K.I. Kin K. Jung H.J. Kim 2002 Face recognition using kernel principal component analysis IEEE Signal Process. Lett. 9 2 40 42
12. K. Liu Y.Q. Cheng J.Y. Yang X. Liu 1992 An efficient algorithm for foley-sammon optical set of discriminant vectors by algebraic method Int. J. Pattern Recogn. Artif. Intell. 6 817 829
13. Liu, Q.S., Huang, R., Lu, H.Q., Ma, S.D.: Face recognition using kernel based fisher discriminant analysis. In: Proceedings of 5th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 197-201 (2002)
14. Q.S. Liu H. Lu S. Ma 2004 Improving kernel fisher discriminant analysis for face recognition IEEE Trans. Circuits Syst. Video Technol. 14 1 42 49
15. Q.S. Liu H.Q. Lu S.D. Ma 2004 Improving kernel fisher discriminant analysis for face recognition IEEE Trans. Circuits Syst. Video Technol. 14 1 42 49
16. Q.S. Liu X. Tang H. Lu S.D. Ma 2006 Face recognition using kernel scatter-difference-based discriminant analysis IEEE Trans. Neural Netw. 17 4 1081 1085
17. Liu, W., Wang, Y.W., Li, S.Z., Tan, T.N.: Null space-based kernel fisher discriminant analysis for face recognition. In: Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, pp. 369-374 (2004)
18. J. Lu K.N. Plataniotis A.N. Venetsanopoulos 2003 Face recognition using kernel direct discriminant analysis algorithms IEEE Trans. Neural Netw. 14 1 117 126
19. J. Lu K.N. Plataniotis A.N. Venetsanopoulos 2003 Face recognition using lda-based algorithms IEEE Trans. Neural Netw. 14 1 195 200
20. J. Lu K.N. Plataniotis A.N. Venetsanopoulos S.Z. Li 2006 Ensemble-based discriminant learning with boosting for face recognition IEEE Trans. Neural Netw. 17 1 166 178
21. Yang, M., Ahuja, N., Kriegman, D.: Face recognition using kernel eigenfaces. IEEE Conf. Image Process. pp. 37-40 (2000)
22. Mika, S., Ratsch, G., Weston, J., Scholkopf, B., Muller, K.R.: Fisher discriminant analysis with kernels. IEEE Workshop Neural Netw. Signal Process. IX, pp. 41-48 (1999)
23. Mika, S., Ratsch, G., Weston, J., Scholkopf, B., Smola, A.J., Muller, K.R., Solla, S.A., Leen, T.K.: Invariant feature extraction and classification in kernel spaces. Adv. Neural Inform. Process. Syst. MIT Press, Cambridge, vol. 12, pp. 526-532 (2000)
24. B. Moghaddam A. Pentland 1997 Probabilistic visual learning for object representation IEEE Trans. Pattern Anal. Mach. Intell. 19 7 696 710
25. Phillips, P.J., Flynn, P.J., Scruggs, T., Bowyer, K.W., Chang, J., Hoffman, K., Marques, J., Min, J., Worek, W.: Overview of the face recognition grand challenge. IEEE Conf. Comp. Vis. Pattern Recogn. pp. 947-954 (2005)
26. P.J. Phillips H. Moon S. Rizvi P. Rauss 2000 The feret evaluation methodology for face recognition algorithms IEEE Trans. Pattern Anal. Mach. Intell. 22 10 1090 1104
27. Samaria, F., Harter, A.: Parameterization of a stochastic model for human face identification. In: Proceedings of 2nd IEEE Workshop on Applications of Computer Vision, pp. 138-142. Sarasota, FL, USA (1994)
28. B. Scholkopf S. Mika C.J. Burges P. Knirsch K.R. Muller G. Ratsch A. Smola 1999 Input space versus feature space in kernel-based methods IEEE Trans. Neural Netw. 10 1000 1017
29. B. Scholkopf A. Smola K.R. Muller 1998 Nonlinear component analysis as a kernel eigenvalue problem Neural Comput. 10 5 1299 1319
30. Shakhnarovich G., Moghaddam B. (2004). Face Recognition in Subspaces. Springer, Heidelberg
31. Vapnik V.N. (1998). Statistical Learning Theory. Wiley, New York
32. Wang, X., Tang, X.: Dual-space linear discriminant analysis for face recognition. IEEE Conf. Comput. Vis. Pattern Recogn. 2, pp. 564-569 (2004)
33. J. Yang A.F. Frangi J.Y. Yang D. Zhang Z. Jin 2005 Kpca plus lda: a complete kernel fisher discriminant framework for feature extraction and recognition IEEE Trans. Pattern Anal. Mach. Intell. 27 2 230 244
34. Yang, M.H.: Kernel eigenfaces vs. kernel fisherfaces: face recognition using kernel methods. In: Proceedings 5th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 215-220 (2002)
35. W. Zhao R. Chellappa P.J. Phillips A. Rosenfeld 2003 Face recognition: a literature survey ACM Comput. Surv. 35 4 399 458