Statistical learning based facial animation
文献类型：期刊论文
| 作者 | Xu, Shibiao ; Ma, Guanghui; Meng, Weiliang; Zhang, Xiaopeng
|
| 刊名 | JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS
 |
| 出版日期 | 2013-07-01 |
| 卷号 | 14期号:7页码:542-550 |
| 关键词 | Facial animation Motion unit Statistical learning Realistic rendering Pre-integration |
| 英文摘要 | To synthesize real-time and realistic facial animation, we present an effective algorithm which combines image- and geometry-based methods for facial animation simulation. Considering the numerous motion units in the expression coding system, we present a novel simplified motion unit based on the basic facial expression, and construct the corresponding basic action for a head model. As image features are difficult to obtain using the performance driven method, we develop an automatic image feature recognition method based on statistical learning, and an expression image semi-automatic labeling method with rotation invariant face detection, which can improve the accuracy and efficiency of expression feature identification and training. After facial animation redirection, each basic action weight needs to be computed and mapped automatically. We apply the blend shape method to construct and train the corresponding expression database according to each basic action, and adopt the least squares method to compute the corresponding control parameters for facial animation. Moreover, there is a pre-integration of diffuse light distribution and specular light distribution based on the physical method, to improve the plausibility and efficiency of facial rendering. Our work provides a simplification of the facial motion unit, an optimization of the statistical training process and recognition process for facial animation, solves the expression parameters, and simulates the subsurface scattering effect in real time. Experimental results indicate that our method is effective and efficient, and suitable for computer animation and interactive applications. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | ACTIVE APPEARANCE MODELS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000321971400008 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/2866]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Shibiao,Ma, Guanghui,Meng, Weiliang,et al. Statistical learning based facial animation[J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS,2013,14(7):542-550. |
| APA | Xu, Shibiao,Ma, Guanghui,Meng, Weiliang,&Zhang, Xiaopeng.(2013).Statistical learning based facial animation.JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS,14(7),542-550. |
| MLA | Xu, Shibiao,et al."Statistical learning based facial animation".JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS 14.7(2013):542-550. |
入库方式： OAI收割
来源：自动化研究所
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