Face animation with eigenface detection and FAP tracker

An approach for face animation based on FDP definition in MPEG-4 is proposed by integrating eigenface detection and facial features tracker. Our method only requires simple device - a digital camera and a PC, and our system needs minimal user interaction. First, the algorithm makes full use of the eigenface to detect the position and the size of face the first frame, and facial features of the first frame are acquired automatically by Plessey corner detector according to FDP in MPEG-4 based on anatomical knowledge and general 3D model. Then feature motion data is obtained from maximizing the cross-correlation and Kalman filter, and 2D facial features motion data is converted to 3D FAPs in MPEG-4 by image normalization and features alignment. Finally face animation is obtained by deformation parameters in FAPs. Experimental results show that the approaches we present can be realized, and the results also show the high prospect of our method.