3D facial expression recognition using residues

In this paper, we propose an approach using spatial displacement (or residue) of facial points, for Facial Expression Recognition using 3D facial models. It is shown that residues of facial points, have more information about facial expressions than the static expressive face itself. This approach overcomes some of the inherent defects in just taking the expressive face as the basic model to work on. With the proposed approach, we get an average recognition rate of 91.7% for six expressions and the expression of surprise is recognized successfully a rate of 100%.