We present a fast approach to generate individual face model and to produce relevant facial animation. Firstly, a frontal face image is captured with an ordinary video camera, and 85 key points are automatically detected. Then the points are used for RBF network to deform a generic model to an individual model. The texture is generated from the same image and texture coordinates are interpolated. Finally we transfer the original vertex motion vectors to the individual model in real time. All the procedure can be implemented with minimal or even without manual tuning. The result shows that our method is fast enough for common applications.
Citation:
Jian Yao, Mandun Zhang, Xiangyong Zeng, Yangsheng Wang, "Fast Individual Facial Animation," cgiv, pp.278-281, International Conference on Computer Graphics, Imaging and Visualization (CGIV'05), 2005