Facial expression cloning optimization method based Laplace operator.

Zhang, M., Ge, X., Huo, J., Xiao, Z., You, L. and Zhang, J., 2016. Facial expression cloning optimization method based Laplace operator. Computer Engineering and Application, 52 (6), 178 - 181.

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基于拉普拉斯算子的人脸表情克隆优化方法_张满囤.pdf - Published Version

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Official URL: http://cea.ceaj.org/CN/abstract/abstract34282.shtm...

Abstract

In view of the reality of facial expression cloning and efficiency of expression reconstruction, a novel method based on motion capture data is proposed. After capturing the data of six fundamental expressions, it normalizes these data to make them in the same range. Then 41 points are chosen in critical areas of facial expression and it gets cloning expression using Laplace deformation algorithm with convex weight which can preserve the details of facial expression to avoid the low fidelity of uniform weights and unstable calculation of cotangent weights. Experimental results show that this method can generate realistic and natural expression animations and the efficiency of facial expression cloning is improved significantly.

Item Type:Article
ISSN:1002-8331
Uncontrolled Keywords:motion capture; expression cloning; Laplace operator; facial expression
Group:Faculty of Media & Communication
ID Code:30725
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:13 Jun 2018 10:59
Last Modified:13 Jun 2018 10:59

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