Statistical learning and analysis for unconstrained face recognition and analysis

Summary form only given. Although face recognition has been actively studied during the nineties, the state-of-the-art recognition systems perform poorly when confronted with unconstrained scenarios such as illumination and pose variations, surveillance video, etc. In this talk, I address these challenges by introducing approaches to recognizing human faces under illumination and pose variations and from video sequences, using statistical learning and analysis techniques. I also talk about how to estimate age from the face image.