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首页> 外文会议>International confernce on computational science and its applications >A Feature-Preserved Simplification for Autonomous Facial Animation from 3D Scan Data
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A Feature-Preserved Simplification for Autonomous Facial Animation from 3D Scan Data

机译：3D扫描数据中的自主面部动画的特征保留简化

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摘要

We propose a new simplification algorithm of facial models for animation. For the facial animation, the models are often simplified from complex scan data based on geometric features, but it leads to decrease the quality and such features are easily noticed by human perception. For example, a lip line and eyebrows easily lose their details by geometry-based simplification. In this paper, facial features are extracted using an image processing of a 2D texture image and the curvature analysis of the 3D geometry, which improves the details around the feature areas of the facial model. Especially if lip contact line is simplified to one or two edges, it may not be proper for lip animation. Finally, we will show that our simplified model can produce as good as a facial animation as the one from the original model.
机译：我们为动画的面部模型提出了一种新的简化算法。对于面部动画，模型通常从基于几何特征的复杂扫描数据简化，但它导致降低质量，并且可以通过人类感知容易地注意到这些特征。例如，唇线和眉毛通过基于几何的简化容易地失去了细节。在本文中，使用2D纹理图像的图像处理提取面部特征和3D几何形状的曲率分析，这改善了面部模型的特征区域周围的细节。特别是如果唇线接触线被简化为一个或两个边，则可能不适用于唇部动画。最后，我们将表明，我们的简化模型可以产生与原始模型中的面部动画一样好。

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