Facial Expression Recognition for HCI Applications

Abstract

with significant head movement is a challenging problem. It is required by many applications such as human-computer interaction and computer graphics animation (Canamero, 2005 & Picard, 2001). To clas-sify expressions in still images many techniques have been proposed such as Neural Nets (Tian, 2001), Gabor wavelets (Bartlett, 2004), and active appearance models (Sung, 2006). Recently, more attention has been given to modeling facial deformation in dynamic scenarios. Still image classifiers use feature vectors related to a single frame to perform classification.