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International Conference on Computer Graphics, Imaging and Visualization (CGIV'05)
Fast Individual Facial Animation
Beijing, China
July 26-July 29
ISBN: 0-7695-2392-7
| ASCII Text | x | ||
| Jian Yao, Mandun Zhang, Xiangyong Zeng, Yangsheng Wang, "Fast Individual Facial Animation," 2012 Ninth International Conference on Computer Graphics, Imaging and Visualization, pp. 278-281, International Conference on Computer Graphics, Imaging and Visualization (CGIV'05), 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/CGIV.2005.38, author = {Jian Yao and Mandun Zhang and Xiangyong Zeng and Yangsheng Wang}, title = {Fast Individual Facial Animation}, journal ={2012 Ninth International Conference on Computer Graphics, Imaging and Visualization}, volume = {0}, year = {2005}, isbn = {0-7695-2392-7}, pages = {278-281}, doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2005.38}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 Ninth International Conference on Computer Graphics, Imaging and Visualization TI - Fast Individual Facial Animation SN - 0-7695-2392-7 SP278 EP281 A1 - Jian Yao, A1 - Mandun Zhang, A1 - Xiangyong Zeng, A1 - Yangsheng Wang, PY - 2005 KW - null VL - 0 JA - 2012 Ninth International Conference on Computer Graphics, Imaging and Visualization ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2005.38
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
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