Distortion-invariant (pose and illumination) face recognition using new SVM

David P. Casasent; Chao Yuan

doi:10.1117/12.580132

25 October 2004 Distortion-invariant (pose and illumination) face recognition using new SVM

David P. Casasent, Chao Yuan

Proceedings Volume 5608, Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision; (2004) https://doi.org/10.1117/12.580132
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States

Abstract

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. Initially, non-registered test and training set imagery is used (this is realistic) and a two-step pose estimation/face recognition processor is employed which includes registration of the test input to the reference poses. A new SVRDM support vector representation and discrimination machine classifier is proposed and initial face recognition-rejection results are presented. Face recognition and verification results are presented.

Citation Download Citation

David P. Casasent and Chao Yuan "Distortion-invariant (pose and illumination) face recognition using new SVM", Proc. SPIE 5608, Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision, (25 October 2004); https://doi.org/10.1117/12.580132

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