Knowledge Commons of Institute of Automation,CAS
Statistical learning based facial animation | |
Xu, Shibiao; Ma, Guanghui; Meng, Weiliang; Zhang, Xiaopeng | |
发表期刊 | JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS |
2013-07-01 | |
卷号 | 14期号:7页码:542-550 |
文章类型 | Article |
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. |
关键词 | Facial Animation Motion Unit Statistical Learning Realistic Rendering Pre-integration |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | ACTIVE APPEARANCE MODELS |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000321971400008 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/2866 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
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. |
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