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首页> 外文会议>International Conference on Advanced Concepts for Intelligent Vision Systems(ACIVS 2007); 20070828-31; Delft(NL) >Realistic Facial Modeling and Animation Based on High Resolution Capture
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Realistic Facial Modeling and Animation Based on High Resolution Capture

机译：基于高分辨率捕捉的逼真的面部建模和动画

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摘要

Real-time facial expression capture is an essential part for on-line performance animation. For efficiency and robustness, special devices such as head-mounted cameras and face-attached markers have been used. However, these devices can possibly cause some discomfort that may hinder a face puppeteer from performing natural facial expressions. In this paper, we propose a comprehensive solution for real-time facial expression capture without any of such devices. Our basic idea is first to capture the 2D facial features and 3D head motion exploiting anthropometric knowledge and then to capture their time-varying 3D positions only due to facial expression. We adopt a Kalman filter to track the 3D features guided by their captured 2D positions while correcting their drift due to 3D head motion as well as removing noises.
机译：实时面部表情捕获是在线表演动画的重要组成部分。为了提高效率和坚固性，已使用了特殊设备，例如头戴式摄像头和面部标记。但是，这些设备可能会引起一些不适，这可能会阻止木偶戏表演自然的面部表情。在本文中，我们提出了一种无需任何此类设备即可进行实时面部表情捕获的全面解决方案。我们的基本思想是，首先利用人体测量学知识捕获2D面部特征和3D头部运动，然后仅捕获由于面部表情而捕获其随时间变化的3D位置。我们采用卡尔曼滤波器来跟踪由3D要素捕获的2D位置引导的3D要素，同时纠正由于3D头部运动而产生的漂移并消除噪声。

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