Imaged-based 3D face modeling

We present an image-based 3D face modeling algorithm. Different from traditional complex stereo vision procedure, our new method needs only two orthogonal images for fast 3D modeling without any camera calibration. The proposed method has two steps. Firstly according to MPEG-4 protocol for 3D face structure, we appoint and deform feature points by radial basis functions (RBF) in the input images corresponding to the generic model. Then the texture mapping is carried out with regard to different directional projections. The experiments demonstrate that our new algorithm can photo-realistically render 3D face with very limited computation.