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Jul, 2019
光学运动捕捉中的符号自动标记：置换学习
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning
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Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje
TL;DR
本文提出了一个自动光学标记标签的框架，利用差分可学习置换模型估计每个帧的置换矩阵并利用时间一致性来识别和修正剩余的标记错误，以实现运动分析。
Abstract
optical marker-based motion capture
is a vital tool in applications such as motion and behavioural analysis, animation, and biomechanics.
labelling
, that is, assigning optical markers to the pre-defined positions
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