Name
Abstract | ||
|---|---|---|
The facial texture variation is the key factor for realistic expression synthesis. It always changed with facial motion under some illumination. In this paper, we propose a realistic facial expression texture driving model based on the support vector regression and MPEG-4. It can learn and recall the regression relationship between facial animation parameters and the parameters of expression ratio image through support vector regression method. First, We can get the parameter set of expression ratio image and the eigenERI space by principle component analysis method, that generate reasonable ratio image. Then, a life-like facial animation can be synthesized quickly and effectively with the support vector regression mapping. In our experiment, it not only captures subtle changes in the variation illumination, but also can synthesis realistic facial expression in bad environment. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICIG.2004.137 | ICIG |
Keywords | Field | DocType |
svr-based facial texture driving,facial texture variation,regression relationship,facial animation parameter,life-like facial animation,realistic expression synthesis,synthesis realistic facial expression,support vector regression,regression analysis,computer animation,realistic facial expression texture,eigeneri space,support vector regression method,expression ratio image,support vector regression mapping,principle component analysis method,image texture,eigenvalues and eigenfunctions,facial motion,principal component analysis,mpeg-4,support vector machines,image motion analysis,facial expression,principle component analysis,facial animation | Computer vision,Pattern recognition,Regression,Image texture,Computer science,Regression analysis,Support vector machine,Facial expression,Artificial intelligence,Computer facial animation,Computer animation,Principal component analysis | Conference |
ISBN | Citations | PageRank |
0-7695-2244-0 | 3 | 0.40 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenhui Zhu | 1 | 16 | 2.02 |
| Yiqiang Chen | 2 | 1446 | 109.32 |
| Yanfeng Sun | 3 | 3 | 0.40 |
| Baocai Yin | 4 | 691 | 124.79 |
| Dalong Jiang | 5 | 203 | 10.26 |