Computer facial animation with synthesize marker on 3D faces surface

Samuel Gandang Gunanto, M. Hariadi, E. M. Yuniarno
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引用次数: 2

Abstract

An animated character has its own characteristics and behaviour. The animator needs to be skilled enough to make a complex animation, especially on making face expression. a Well defined facial expression can represent the emotional condition and make the animation more expressing the mood. But most facial animation is done by manually, frame-by-frame. It is very time-consuming. This research proposed a combination methods for handling the facial animation based on marker location and face surface from the 3D character. The motion data captured based on the location and movement of the marker then implemented on 3D face model to generate the motion guidance. As a guidance, this marker data role as a centroid of a vertex cluster. The cluster provided by implementing segmentation fp-NN Clustering method based on surface and can visualize the deformation using linear blend skinning methods. The result from this research shows that this system can automatically generate facial animations based on the marker data and the surface segmentation. The visualization of deformation arranges accordingly to the motion captured data and organized sequentially.
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三维人脸表面合成标记的计算机人脸动画
动画角色有自己的特点和行为。动画师需要有足够的技能来制作复杂的动画,特别是在制作面部表情方面。a明确的面部表情可以代表情绪状态,使动画更能表达情绪。但大多数面部动画都是手动逐帧完成的。这是非常耗时的。本研究提出了一种基于标记位置和人脸表面的三维人物面部动画处理组合方法。然后根据标记的位置和运动捕获运动数据,在三维人脸模型上实现生成运动制导。作为指导,该标记数据的作用是作为顶点簇的质心。采用基于表面的分割fp-NN聚类方法提供聚类,并采用线性混合蒙皮方法实现变形的可视化。研究结果表明,该系统能够基于标记数据和表面分割自动生成人脸动画。变形的可视化根据运动捕获的数据进行相应的排列和顺序组织。
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