Face Recognition Using Appearance Based Approach: A Literature Survey
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D. K. Basu | S. Mohamed Mansoor Roomi | M. Parisa Beham | G. Baciu | J. Sing | Rongjie Li | M. Roomi | S. Mohamed | S. Chowdhury | Parisa Beham | Eddie | C. L. Chan
[1] Azriel Rosenfeld,et al. Face recognition: A literature survey , 2003, CSUR.
[2] Grace Shin-Yee Tsai,et al. Two-view face recognition using Bayesian fusion , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.
[3] Jian Yang,et al. KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Oscar Déniz-Suárez,et al. Face recognition using independent component analysis and support vector machines , 2001, Pattern Recognit. Lett..
[5] David Zhang,et al. A face and palmprint recognition approach based on discriminant DCT feature extraction , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[6] Jian Yang,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Ahmed Bouridane,et al. Contourlet-Based Feature Extraction with PCA for Face Recognition , 2008, 2008 NASA/ESA Conference on Adaptive Hardware and Systems.
[8] Xiaogang Wang,et al. Random Sampling for Subspace Face Recognition , 2006, International Journal of Computer Vision.
[9] Xiaoyang Tan,et al. A study on three linear discriminant analysis based methods in small sample size problem , 2008, Pattern Recognit..
[10] Wai Lok Woo,et al. Two-dimensional reduction PCA: a novel approach for feature extraction, representation, and recognition , 2006, Electronic Imaging.
[11] Haiping Lu,et al. MPCA: Multilinear Principal Component Analysis of Tensor Objects , 2008, IEEE Transactions on Neural Networks.
[12] A. Saradha,et al. A Hybrid Feature Extraction Approach for Face Recognition Systems , 2005 .
[13] Driss Aboutajdine,et al. Local Curvelet Based Classification Using Linear Discriminant Analysis for Face Recognition , 2009 .
[14] Wen Gao,et al. Illumination normalization for robust face recognition against varying lighting conditions , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).
[15] Lei Zhang,et al. A multi-manifold discriminant analysis method for image feature extraction , 2011, Pattern Recognit..
[16] Shuicheng Yan,et al. Exploring Feature Descritors for Face Recognition , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[17] Marian Stewart Bartlett,et al. Face recognition by independent component analysis , 2002, IEEE Trans. Neural Networks.
[18] Mita Nasipuri,et al. Feature extraction by fusing local and global discriminant features: An application to face recognition , 2010, 2010 IEEE International Conference on Computational Intelligence and Computing Research.
[19] Driss Aboutajdine,et al. Curvelet-based feature extraction with B-LDA for face recognition , 2009, 2009 IEEE/ACS International Conference on Computer Systems and Applications.
[20] J Shermina,et al. Illumination invariant face recognition using Discrete Cosine Transform and Principal Component Analysis , 2011, 2011 International Conference on Emerging Trends in Electrical and Computer Technology.
[21] George Baciu,et al. DLDA and LDA/QR equivalence framework for human face recognition , 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).
[22] Jieping Ye,et al. An optimization criterion for generalized discriminant analysis on undersampled problems , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Fei Yao-ping. A Comparative Study on Face Recognition Using PCA-based Methods , 2007 .
[24] A. Zaveri,et al. Illumination and Pose Invariant Face Recognition: A Technical Review , 2010 .
[25] Ji-yin Zhao,et al. Combined weighted eigenface and BP-based networks for face recognition , 2008 .
[26] Tao Jiang,et al. Efficient and robust feature extraction by maximum margin criterion , 2003, IEEE Transactions on Neural Networks.
[27] Xuan Zou,et al. Illumination Invariant Face Recognition: A Survey , 2007, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems.
[28] Xuebin Xu,et al. An efficient method for human face recognition using nonsubsampled contourlet transform and support vector machine , 2009 .
[29] Hakan Cevikalp,et al. Discriminative common vectors for face recognition , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Horst Bischof,et al. Fast Active Appearance Model Search Using Canonical Correlation Analysis , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] K. Etemad,et al. Discriminant analysis for recognition of human face images , 1997 .
[32] Rama Chellappa,et al. Human and machine recognition of faces: a survey , 1995, Proc. IEEE.
[33] Modesto Castrillón,et al. Face recognition using independent component analysis and support vector machines , 2003 .
[34] Shao Hui-he. Kernel Principal Component Analysis and Application in Face Recognition , 2004 .
[35] David Zhang,et al. Sequential row-column independent component analysis for face recognition , 2009, Neurocomputing.
[36] L Sirovich,et al. Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[37] Fang Fang. Survey of human face detection and recognition technology , 2006 .
[38] He Jia,et al. Facial feature extraction and recognition based on Curvelet transform and SVD , 2009, 2009 International Conference on Apperceiving Computing and Intelligence Analysis.
[39] Juyang Weng,et al. Candid Covariance-Free Incremental Principal Component Analysis , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[40] Daoqiang Zhang,et al. Efficient and robust feature extraction by maximum margin criterion , 2003, IEEE Transactions on Neural Networks.
[41] Hui Xiong,et al. IDR/QR: an incremental dimension reduction algorithm via QR decomposition , 2004, IEEE Transactions on Knowledge and Data Engineering.
[42] Manish Kumar,et al. Face Recognition Using Principle Component Analysis, Eigenface and Neural Network , 2010, 2010 International Conference on Signal Acquisition and Processing.
[43] Bongjin Jun,et al. Statistical face image preprocessing and non-statistical face representation for practical face recognition , 2009, 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
[44] Ja-Chen Lin,et al. A new LDA-based face recognition system which can solve the small sample size problem , 1998, Pattern Recognit..
[45] Bin Xu,et al. Generalized Discriminant Analysis: A Matrix Exponential Approach , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[46] C. Gordon Bell. Computer Engineering , 1998 .
[47] Alex Pentland,et al. View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.