Statistical modeling for facial expression analysis and synthesis

Facial expression interpretation, recognition and analysis is a key issue in visual communication and man to machine interaction. In this paper, we present a technique for extracting appearance parameters from a natural image or video sequence, which allow reproduction of natural looking expressive synthetic faces. This technique was used to perform face synthesis and tracking in video sequences as well as facial expression recognition and control.