Image-Based Fast 3D Individual Facial Modeling
Mandun Zhang, Zhi Li, Hongtao Wu, Ming Yu · 2007
In this paper, an image-based fast 3D facial modeling algorithm is presented. Different from traditional complex stereo vision procedure, our new method needs only one frontal image for fast 3D modeling without any camera calibration. To extract frontal feature points effectively, we propose an improved Active Shape Models (ASM) method. We can calculate the lateral parameters and estimate the depth information of facial feature points. According to MPEG-4 protocol for 3D face structure, we appoint and deform feature points by Radial Basis functions (RBF) corresponding to the generic model. The texture mapping is carried out with regard to different directional projections to generate the individual face.