Redundancy reduction in 3D facial motion capture data for animation

Daniela I. Wellein, Cristóbal Curio, H. Bülthoff
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Abstract

Research on the perception of dynamic faces often requires real-time animations with low latency. With an adaptation of principal feature analysis [Cohen et al. 2002], we can reduce the number of facial motion capture markers by 50%, while retaining the overall animation quality.
三维动画面部动作捕捉数据的冗余减少
动态人脸感知的研究往往需要低延迟的实时动画。通过对主特征分析的适应[Cohen等人,2002],我们可以将面部动作捕捉标记的数量减少50%,同时保持整体动画质量。
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