Recent advances in subspace analysis for face recognition

Abstract

Given the unprecedented demand on face recognition technology, it is not surprising to see an overwhelming amount of research publications on this topic in recent years. In this paper we conduct a survey on subspace analysis, which is one of the fastest growing areas in face recognition research. We first categorize the existing techniques in subspace analysis into four categories, and present descriptions of recent representative methods within each category. Then we discuss three main directions in recent research and point out some challenging issues that remain to be solved. © Springer-Verlag Berlin Heidelberg 2004.