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Research on facial expression simulation based on depth image
Author(s): Sha-sha Ding; Jin Duan; Yi-wu Zhao; Bo Xiao; Hao Wang
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Paper Abstract

Nowadays, face expression simulation is widely used in film and television special effects, human-computer interaction and many other fields. Facial expression is captured by the device of Kinect camera .The method of AAM algorithm based on statistical information is employed to detect and track faces. The 2D regression algorithm is applied to align the feature points. Among them, facial feature points are detected automatically and 3D cartoon model feature points are signed artificially. The aligned feature points are mapped by keyframe techniques. In order to improve the animation effect, Non-feature points are interpolated based on empirical models. Under the constraint of Bézier curves we finish the mapping and interpolation. Thus the feature points on the cartoon face model can be driven if the facial expression varies. In this way the purpose of cartoon face expression simulation in real-time is came ture. The experiment result shows that the method proposed in this text can accurately simulate the facial expression. Finally, our method is compared with the previous method. Actual data prove that the implementation efficiency is greatly improved by our method.

Paper Details

Date Published: 15 November 2017
PDF: 6 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106051U (15 November 2017); doi: 10.1117/12.2291951
Show Author Affiliations
Sha-sha Ding, Changchun Univ. of Science and Technology (China)
Jin Duan, Changchun Univ. of Science and Technology (China)
Yi-wu Zhao, Changchun Univ. of Science and Technology (China)
Bo Xiao, Changchun Univ. of Science and Technology (China)
Hao Wang, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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