Automatic Face Representation and Classification

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 properties, an ability to generalise from one viewing condition to another, and which uses fast computational procedures. 1 Introduction Representing a human face under a large range of viewing conditions and being able to recognise images of familiar people in these conditions is one of the more remarkable abilities of the human cognitive system. Whilst the relatively simple procedure of matching frontal face images under consistent viewing conditions has been implemented and commercially exploited [17, 23], we have yet to..