Cloning of Facial Expressions Using Spatial Information

Dehui Kong, Kang Liang, Baocai Yin
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引用次数: 1

Abstract

In virtual world, it is always a challenge research issue for an animated human face model to appear natural. In this paper, we present a novel facial animation method for the technique of expression cloning which can directly maps an expression of the source model onto the surface of the target model. Using litter time, our method reuses the 3D motion vectors of the vertices of the source model to create similar animations on a new target model having the same mesh structure.
利用空间信息克隆面部表情
在虚拟世界中,如何使动画人脸模型显得自然,一直是一个具有挑战性的研究课题。本文提出了一种新的面部动画表达克隆技术,可以将源模型的表达直接映射到目标模型的表面上。使用垃圾时间,我们的方法重用源模型顶点的3D运动向量,在具有相同网格结构的新目标模型上创建类似的动画。
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