Face Personalization: Animated Face Modeling Approach using Radial Basis Function

In this paper, we propose a novel facial animation system. A template head model has been built up with anatomical structure to synthesize the various facial expression. To make the template model suitable for different facial geometry, landmarks compliant to MPEG-4 Facial Definition Parameters (FDP) are labeled on this model. Then another personalized 3D head with different geometrical information is labeled with a subset of these feature points. An iterative training process is performed to get a transformation function from the template model to the personalized model. We use Radial Basis Function (RBF) as the transformation function. A curvature based searching scheme is employed to find the feature points in the iterative process.