Linear discriminant analysis for face recognition

Face is the most common biometric identifier used by humans. During the past thirty years, a number of face recognitign techniques have been proposed, all of these methods focus on image-based face recognition that use a still image as input data.

[1]  Amar Djeradi,et al.  Real time face recognition from video stream using eigen faces , 2008, Artificial Intelligence and Pattern Recognition.

[2]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[3]  Azriel Rosenfeld,et al.  Face recognition: A literature survey , 2003, CSUR.

[4]  Michael G. Strintzis,et al.  Face Recognition , 2008, Encyclopedia of Multimedia.

[5]  Alaa Eleyan,et al.  Face Recognition System Based on PCA and Feedforward Neural Networks , 2005, IWANN.

[6]  Xiaoou Tang,et al.  Dual-space linear discriminant analysis for face recognition , 2004, CVPR 2004.

[7]  Franc Solina,et al.  Face Recognition in Different Subspaces: A Comparative Study , 2006, PRIS.

[8]  K. Etemad,et al.  Discriminant analysis for recognition of human face images , 1997 .

[9]  Kin-Man Lam,et al.  Face recognition based on eigen-illumination scheme and uncorrelated discriminant analysis , 2005, Visual Communications and Image Processing.

[10]  Adnan Acan,et al.  FACE RECOGNITION USING PCA, LDA AND ICA APPROACHES ON COLORED IMAGES , 2003 .

[11]  Mislav Grgic,et al.  Independent comparative study of PCA, ICA, and LDA on the FERET data set , 2005, Int. J. Imaging Syst. Technol..

[12]  Xiaogang Wang,et al.  Random Sampling for Subspace Face Recognition , 2006, International Journal of Computer Vision.

[13]  Rama Chellappa,et al.  Discriminant analysis of principal components for face recognition , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[14]  M. Grgic,et al.  Appearance-based statistical methods for face recognition , 2005, 47th International Symposium ELMAR, 2005..

[15]  R. Chellappa,et al.  Subspace Linear Discriminant Analysis for Face Recognition , 1999 .

[16]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[17]  Witold Pedrycz,et al.  Face recognition: A study in information fusion using fuzzy integral , 2005, Pattern Recognit. Lett..