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首页> 外文会议>International Conference on Computational Science and Its Applications - ICCSA 2003 Pt.3 May 18-21, 2003 Montreal, Canada >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：通过3D扫描数据对人脸动画进行功能保留的简化

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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 comptex 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：我们提出了一种新的动画面部模型简化算法。对于面部动画，通常会根据几何特征从复杂扫描数据中简化模型，但是这会导致质量降低，并且人类感知很容易注意到这些特征。例如，通过基于几何的简化，唇线和眉毛很容易丢失其细节。在本文中，使用2D纹理图像的图像处理和3D几何形状的曲率分析提取面部特征，从而改善了面部模型的特征区域周围的细节。特别是如果将嘴唇接触线简化为一个或两个边缘，则可能不适用于嘴唇动画。最后，我们将展示简化后的模型可以产生与原始模型一样好的面部动画。

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