Facial model generation through mono image sequence

Facial model coding is an integral part in MPEG-4 related applications. To generate facial model usually requires stereoscopic view of the face in the pre-processing stage. Although facial model can be successfully estimated from two stereo facial images, the occlusion effect and imprecise location of the feature point prohibit us from obtaining an accurate facial model. In this paper, we proposed two facial model estimation (FME) algorithms to find the precise facial model from a mono image sequence. Without the a prior information about the 3D position of the head with respect to the camera and the rotation axis and angle of the head's movement, an accurate facial model (within 7.21% error) can still be obtained by our schemes. In addition, our schemes do not require the precise camera parameters that makes the facial model extraction easy.