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首页> 外文期刊>IEEE transactions on visualization and computer graphics >Marker Optimization for Facial Motion Acquisition and Deformation
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Marker Optimization for Facial Motion Acquisition and Deformation

机译：面部运动获取和变形的标记优化

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摘要

A long-standing problem in marker-based facial motion capture is what are the optimal facial mocap marker layouts. Despite its wide range of potential applications, this problem has not yet been systematically explored to date. This paper describes an approach to compute optimized marker layouts for facial motion acquisition as optimization of characteristic control points from a set of high-resolution, ground-truth facial mesh sequences. Specifically, the thin-shell linear deformation model is imposed onto the example pose reconstruction process via optional hard constraints such as symmetry and multiresolution constraints. Through our experiments and comparisons, we validate the effectiveness, robustness, and accuracy of our approach. Besides guiding minimal yet effective placement of facial mocap markers, we also describe and demonstrate its two selected applications: marker-based facial mesh skinning and multiresolution facial performance capture.
机译：基于标记的面部运动捕捉中的一个长期存在的问题是最佳的面部运动捕捉器标记布局是什么。尽管其潜在的应用范围很广，但迄今为止尚未对该问题进行系统的研究。本文介绍了一种为面部运动获取计算优化标记布局的方法，该方法是从一组高分辨率的，真实的面部网格序列中对特征控制点进行优化。具体来说，薄壳线性变形模型通过可选的硬约束（例如对称性和多分辨率约束）被施加到示例姿态重构过程中。通过实验和比较，我们验证了该方法的有效性，鲁棒性和准确性。除了指导面部Mocap标记的最小但有效的放置外，我们还描述并演示了其两个选定的应用程序：基于标记的面部网格蒙皮和多分辨率面部表情捕获。

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