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Homeomorphic Alignment of Edge-Weighted Trees

机译:边缘加权树的同胚对齐

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摘要

Motion capture, a currently active research area, needs estimation of the pose of the subject. For this purpose, we match the tree representation of the skeleton of the 3D shape to a pre-specified tree model. Unfortunately, the tree representation can contain vertices that split limbs in multiple parts, which do not allow a good match by usual methods. To solve this problem, we propose a new alignment, taking in account the homeomorphism between trees, rather than the isomorphism, as in prior works. Then, we develop several computationally efficient algorithms for reaching real-time motion capture.
机译:运动捕捉是当前活跃的研究领域,需要估计对象的姿势。为此,我们将3D形状的骨架的树表示与预先指定的树模型进行匹配。不幸的是,树表示可能包含将肢体分割成多个部分的顶点,而这通常的方法无法很好地匹配。为了解决这个问题,我们提出了一种新的对齐方式,考虑到树之间的同胚性,而不是像以前的工作中的同构性。然后,我们开发了几种计算有效的算法来实现实时运动捕捉。

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