Title :
Fast individual facial animation
Author :
Yao, Jian ; Zhang, Mandun ; Zeng, XiangYong ; Wang, Yangsheng
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Abstract :
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.
Keywords :
computer animation; face recognition; image texture; radial basis function networks; vectors; RBF network; fast individual facial animation; frontal face image; texture coordinates; vertex motion vector; video camera; Application software; Cameras; Cloning; Deformable models; Face detection; Facial animation; Forehead; Image generation; Laser tuning; MPEG 4 Standard;
Conference_Titel :
Computer Graphics, Imaging and Vision: New Trends, 2005. International Conference on
Print_ISBN :
0-7695-2392-7
DOI :
10.1109/CGIV.2005.38