Selecting discriminant eigenfaces for face recognition

Pattern Recognition Letters

Volumn 26, Issue 10, 2005, Pages 1470-1482

  Wang, Jie ^a   Plataniotis, K N ^a   Venetsanopoulos, A N ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Eigenface selection; Face recognition; Intersubject variation; Intrasubject variation

Indexed keywords

APPROXIMATION THEORY; COMPUTER VISION; EIGENVALUES AND EIGENFUNCTIONS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; VECTORS;

EIGENFACE SELECTION; GAUSSIAN MODELS; INTERSUBJECT VARIATION; INTRASUBJECT VARIATION;

FACE RECOGNITION;

EID: 19744378361     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2004.11.029     Document Type: Article

References (29)

1. Y. Adini, Y. Moses, and S. Ullman Face recognition: The problem of compensating for changes in illumination direction IEEE Trans. Pattern Anal Machine Intell. 19 7 1997 721 732
2. M.S. Bartlett, H.M. Lades, and T. Sejnowshi Face recognition by independent component analysis IEEE Trans. Neural Networks 13 6 2002 1450 1464
3. P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman Eigenfaces vs. fisherfaces: Recognition using class specific linear projection IEEE Trans. Pattern Anal Machine Intell. 19 7 1997 711 720
4. J.R. Beveridge, K. She, B.A. Draper, and G.H. Givens A nonparametric statistical comparison of principal component and linear discriminant subspaces for face recognition Proc. IEEE Internat. Conf. on Computer Vision and Pattern Recognition 1 2001 535 542
5. R. Brunelli, and T. Poggio Face recognition: Feature versus templates IEEE Trans. Pattern Anal Machine Intell. 15 10 1993 1042 1052
6. C.J.C. Burges A tutorial on support vector machines for pattern recognition Data Min. Knowl. Disc. 2 2 1998 121 167
7. R. Chellappa, C.L. Wilson, and S. Sirohey Human and machine recognition of faces: A survey Proc. IEEE 83 1995 705 740
8. R.O. Duda, P.E. Hart, and D.G. Stork Pattern Classification second ed. 2000 John Wiley and Sons New York
9. M.J. Er, J. Wu, J. Lu, and H.L. Toh Face recognition with radial basis function (RBF) neural networks IEEE Trans. Neural Networks 13 3 2002 697 710
10. K. Etemad, and R. Chellappa Discriminant analysis for recognition of human face images J. Optical Soc. Amer. 14 1997 1724 1733
11. J. Huang, P.C. Yuen, W.S. Chen, and J.H. Lai Component-based LDA method for face recognition with one training sample IEEE Internat. Workshop Anal. Model. Faces Gestures 2003 120 126
12. A. Jain, and D. Zongker Feature selection: Evaluation, application and small sample performance IEEE Trans. Pattern Anal. Machine Learn. 19 2 1997 153 158
13. A. Jain, P.W. Robert, and J. Mao Statistical pattern recognition: A review IEEE Trans. Pattern Anal. Machine Learn. 22 1 2000 4 37
14. Z. Jin, J.Y. Yang, Z.S. Hu, and Z. Lou Face recognition based on uncorrelated discriminant transformation Pattern Recognition 34 7 2001 1405 1416
15. H.C. Kim, D. Kim, and S.Y. Bang Face recognition using LDA mixture model Pattern Recognition Lett. 24 15 2003 2815 2821
16. Kumar, S., 2000. Modular learning through output space decomposition. Ph.D. dissertation, University of Texas, Austin.
17. Liu, C., Wechsler, H., 1999. Comparative assessment of independent component analysis (ICA) for face recognition. In: Proc. of the Second Internat. Conf. on Audio and Video-based Biometric Person Authentication,Washington, DC.
18. J. Lu, K.N. Plataniotis, and A.N. Venetsanopoulos Face recognition using LDA-based algorithms IEEE Trans. Neural Networks 14 1 2003 195 200
19. A.M. Martez, and A.C. Kak PCA versus LDA IEEE Trans. Pattern Anal. Machine Intell. 23 2 2001 228 233
20. B. Moghaddam, T. Jebara, and A. Pentland Bayesian face recognition Pattern Recognition 33 11 2000 1771 1782
21. V. Perlibakas Distance measures for PCA-based face recognition Pattern Recognition Lett. 25 6 2004 711 724
22. P.J. Phillips, H. Moon, S.A. Rizvi, and P. Rauss The FERET evaluation method for face recognition algorithms IEEE Trans. Pattern Anal. Machine Intell. 22 10 2000 1090 1104
23. Z. Sun, G. Bebis, and R. Miller Object detection using feature subset selection Pattern Recognition 37 11 2004 2165 2176
24. M.A. Turk, and A.P. Pentland Eigenfaces for recognition J. Cognitive Neurosci. 3 1 1991 71 86
25. X. Wang, and X. Tang Unified subspace analysis for face recognition Proc. 9th IEEE Internat. Conf. on Computer Vision 2003 679 686
26. J. Wu, and Z.H. Zhou Face recognition with one training image per person Pattern Recognition Lett. 23 14 2002 1711 1719
27. J. Yang, and J.Y. Yang Why can LDA be performed in PCA transformed space Pattern Recognition 36 2 2003 563 566
28. J. Yang, D. Zhang, A.F. Frangi, and J.Y. Yang Two-dimensional PCA: A new approach to appearance-based face representation and recognition IEEE Trans. Pattern Anal Machine Intell. 26 1 2004 131 137
29. W.Y. Zhao, R. Chellappa, A. Rosenfeld, and P.J. Phillips Face recognition: A literature survey ACM Comput. Surv. 35 4 2003 399 458