Non-negative Matrix Factorization (NMF) is a part-based image representation method. It comes from the intuitive idea that entire face image can be constructed by combining several parts. In this paper, we propose a framework for face recognition by finding localized, part-based representations, denoted “Iterative weighted non-smooth non-negative matrix factorization” (IWNS-NMF). A new cost fun...

Faces each have distinct pigmentation as well as shape, which suggests that both cues may play a role in the perception of faces. However, there is a common implicit assumption that pigmentation cues are relatively unimportant, and so the role pigmentation plays in face perception has gone largely unexplored. This thesis is a systematic investigation of the role of pigmentation in face recognit...