It is known that 2D views of a person can be synthesis if the face 3D model of that person is available. This paper proposes a new method, called 3D Spring-Based Face Model (SBFM), to determine the precise face model of a person with different poses and facial expressions from a single image. The SBFM combines the concepts of generic 3D face model in computer graphics and deformable template in computer vision. Face image databases from MIT AI lab and Yale University are used to test our proposed method and the results are encouraging.
Index Terms:
View synthesis, face recognition
Citation:
G.C. Feng, Pong C Yuen, J.H. Lai, "Virtual View Face Image Synthesis Using 3D Spring-Based Face Model from a Single Image," fg, pp.530, Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), 2000