A working face recognition system requires the ability to represent facial images in such a way that permits efficient and accurate processing. The human visual system effectively stores, recognises and classifies familiar facial images under a wide variety of viewing conditions, albeit with various degrees of accuracy. We describe a system which automatically determines a representation for pose-varying facial images - a representation with inherent classification , an ability to generalise from one viewing condition to another, and which uses fast computational procedures.
Keywords:
Pose Varying Face Recognition, Eigenvectors, View-Based Representations, Principal Component Analysis
