Name
Abstract | ||
|---|---|---|
In this paper, a new algorithm is proposed for facial expression mapping. The proposed algorithm first introduces a new elastic model to balance the global and local warping effects such that the impacts from facial feature differences between people can be avoided, thus more reasonable geometric warping results can be created. Furthermore, a muscle-distribution-based (MD) model is also proposed. The proposed MD model utilizes the muscle distribution information of the human face to evaluate and strengthen the facial illumination details. By this way, the impacts from human face difference as well as the effects of unsuitable noise filtering can be effectively alleviated. Experimental results show that our proposed algorithm can create obviously better facial expression results than the existing methods. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ISCAS.2012.6271860 | ISCAS |
Keywords | Field | DocType |
facial illumination details,face recognition,noise filtering,facial expression mapping,md,geometric warping,elastic distribution based models,facial feature differences,filtering theory,human face,muscle,muscle distribution based models,magnetic resonance imaging,lighting,face | Computer vision,Facial recognition system,Face hallucination,Image warping,Computer science,Filter (signal processing),Facial expression,Artificial intelligence,Filtering theory | Conference |
Volume | Issue | ISSN |
null | null | 0271-4302 |
ISBN | Citations | PageRank |
978-1-4673-0218-0 | 3 | 0.38 |
References | Authors | |
7 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yihao Zhang | 1 | 81 | 15.20 |
| Weiyao Lin | 2 | 732 | 68.05 |
| Bin Sheng | 3 | 3 | 0.38 |
| Jianxin Wu | 4 | 3276 | 154.17 |
| Hongxiang Li | 5 | 270 | 16.42 |
| Chongyang Zhang | 6 | 84 | 21.63 |