Face recognition with pose and illumination variations using new SVRDM support vector machine

Face recognition with both pose and illumination variations is considered. In addition, we consider the ability of the classifier to reject non-member or imposter face inputs; most prior work has not addressed this. A new SVRDM support vector representation and discrimination machine classifier is proposed and initial face recognition-rejection results are presented.

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

[2]  David J. Kriegman,et al.  From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Alex Pentland,et al.  View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Thomas S. Huang,et al.  One-class SVM for learning in image retrieval , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[5]  Bernhard Schölkopf,et al.  SV Estimation of a Distribution's Support , 1999, NIPS 1999.

[6]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[7]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[8]  Ralph Gross,et al.  Quo vadis Face Recognition , 2001 .

[9]  Ralph Gross,et al.  Appearance-based face recognition and light-fields , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Robert P. W. Duin,et al.  Data domain description using support vectors , 1999, ESANN.

[11]  Alex Pentland,et al.  Probabilistic Visual Learning for Object Representation , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Hong Yan,et al.  Locating and extracting the eye in human face images , 1996, Pattern Recognit..

[13]  D. Casasent,et al.  Support vector machines for class representation and discrimination , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[14]  Sami Romdhani,et al.  Face identification across different poses and illuminations with a 3D morphable model , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.