Face animation parameters extraction and driving

Ke Wang, Baocai Yin, Jintong Guo, Shuyan Ma
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引用次数: 3

Abstract

A new method combining the CANDIDE model with the Lucas-Kanade algorithm is proposed to track face features and extract face animation parameters. To adapt a general mesh model to a specific face scan data, a face model is made. Combining the parameter model and muscle model, the face animation is created finally by driving face animation parameters. The experimental results show the face animation parameter extraction and driving are accurate.
人脸动画参数提取与驱动
提出了一种将CANDIDE模型与Lucas-Kanade算法相结合的人脸特征跟踪和人脸动画参数提取方法。为了使一般网格模型适应特定的人脸扫描数据,建立了人脸模型。结合参数模型和肌肉模型,通过驱动人脸动画参数,最终生成人脸动画。实验结果表明,人脸动画参数的提取和驱动是准确的。
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