acial animation of life-like avatar based on feature point cluster

The problems that are often encountered in the making of facial expressions on 3D animated avatars heavily dependent on the ability of key animators to create movement and combine them into a series of facial motion animation. This research proposes an automatic preprocessing for facial animation using feature point cluster. The mechanism of a transfer system for animated facial expressions using a radial basis function technique that is effective, especially in terms of production speed. This study focuses on the improvement of animated facial expressions using the feature point cluster. The result is to provide improved motion animation more expressive. This process will be easier and faster for the formation of facial motion animation without the need for process adjustments manually.