Statistical Learning of Facial Expressions Improves Realism of Animated Avatar Faces

In this paper, we are investigating the perceived realism and congruence of animated avatar faces. More specifically, we are comparing two types of avatars which contain either designed or statistically learned facial expressions. Our results show the benefits of learning facial behavior from a large amount 3D face scans. Our paper was accepted for publication in Frontiers of Virtual Reality.