| 非线性联合学习的三维人脸表情合成方法 |
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| 引用本文： | 黄晓钦,林裕旭,宋明黎,卜佳俊,陈纯.非线性联合学习的三维人脸表情合成方法[J].计算机辅助设计与图形学学报,2011,23(2). |
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| 作者姓名： | 黄晓钦 林裕旭 宋明黎 卜佳俊 陈纯 |
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| 作者单位： | 浙江大学计算机科学与技术学院,杭州,310027 |
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| 基金项目： | 国家自然科学基金(60873124) |
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| 摘 要： | 针对人脸表情数据的非线性分布特性,提出一种基于非线性联合学习的三维人脸表情合成方法.首先提出非线性联合学习理论,通过无监督回归将具有相同属性的三维人脸映射到相同的低维表达;其次,基于三维人脸的低维表达对低维表达进行重建操作,为给定的三维人脸合成表情,或基于样例表情进行表情的重定向.另外,非线性联合学习方法还能有效地处理带噪声及不完整的人脸数据,获得完整的表情人脸.实验结果表明,文中方法的表情重定向合成结果及合成效率优于已有方法.
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| 关 键 词： | 表情重定向 表情合成 非线性联合学习 无监督回归 |
3D Facial Expression Synthesis Based on Nonlinear Co-learning |
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| Huang Xiaoqin,Lin Yuxu,Song Mingli,Bu Jiajun,Chen Chun.3D Facial Expression Synthesis Based on Nonlinear Co-learning[J].Journal of Computer-Aided Design & Computer Graphics,2011,23(2). |
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| Authors: | Huang Xiaoqin Lin Yuxu Song Mingli Bu Jiajun Chen Chun |
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| Affiliation: | Huang Xiaoqin,Lin Yuxu,Song Mingli,Bu Jiajun,and Chen Chun(College of Computer Science & Technology,Zhejiang University,Hangzhou 310027) |
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| Abstract: | 3D facial expression synthesis has been an important and challenging task in the field of computer animation.Inspired by the fact that facial expressions distribute on a nonlinear manifold,we propose an approach for 3D facial expression synthesis based on nonlinear co-learning.Firstly,3D facial expressions with the same attribute are projected onto an identical low dimensional representation according to the theory of nonlinear co-learning,by means of unsupervised regression.Secondly,based on the low dimens... |
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| Keywords: | expression retargeting expression synthesis nonlinear co-learning unsupervised regression |
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