Enhanced Relation Discriminant Analysis and Its Application in Face Recognition

HUANG Hong; WU Xin-hong; LI Jian-wei

doi:10.3969/j.issn.1003-501x.2010.01.14

[1] HUANG Huang,LI Jian-wei,FENG Hai-liang. Subspaces versus submanifolds:a comparative study in small sample size problem [J]. International Journal of Pattern Recognition And Artificial Intelligence(S1793-6381),2009,23(3):463-490.

[2] Ruiz-del-Solar J,Navarrete P. Eigenspace-based face recognition:a comparative study of different approaches [J]. IEEE Trans. Systems,Man and Cybernetics:Part C(S1083-4427),2005,35(3):315-325.

[3] Zhang W C,Shan S G,Chen X L,et al. Local gabor binary patterns based on kullback-leibler divergence for partially occluded face [J]. IEEE Signal Processing Letter (S1070-9908),2007,14(11):875-878.

[4] ZHU Ming-han,LUO Da-yong,WAN Yi-jun. Face and Expression Recognition Based on Supervised Isomap [J]. Opto-Electronic Engineering,2009,36(1):146-150.

[5] Roweis S,Saul L K. Nonlinear dimensional reduction by locally linear embedding [J]. Science (S0036-8075),2000,290(5500):2323-2326.

[6] Tenenbaum J B,Silva V de,Langford J C. A global geometric framework for nonlinear dimensional reduction [J]. Science (S0036-8075),2000,290(5500):2319-2323.

[7] He X F,Niyogi P. Locality preserving projections[C]// Proceedings of Advances in Neural Information Processing Systems,Cambridge,USA:MIT Press,2004,16:153-160.

[8] Yan S C,HU Y X,Xu D,et al. Nonlinear Discriminant analysis on embedded manifold [C]// Proceedings of 8th European Conf. Computer Vision,Prague,Czech Republic,2004:468-477.

[9] Dick R,Olga K,Okun O,et al. Supervised locally linear embedding [C]// Proceedings of ICANN/ICONIP,2003,Springer-Verlag,Berlin,2003:333-341.

[10] He X F,Yan S C,Hu Y X,et al. Face recognition using Laplacianfaces [J]. IEEE Trans. Pattern Anal. Mach. Intell. (S1057-7149),2005,27(3):328-340.

[11] Georghiades A S,Belhumeur P N,Kriegman D J. From Few to Many:Illumination Cone Models for Face Recognition under Variable Lighting and Pose [J]. IEEE Trans. Pattern Anal. Mach. Intell(S1057-7149),2001,23(6):643-660