基于低秩的运动捕捉数据的紧凑表示

Junhui Hou, Lap-Pui Chau, Ying He, N. Magnenat-Thalmann
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引用次数: 4

摘要

在本文中,我们提出了一种实用、优雅和有效的紧凑动作捕捉数据表示方案。在我们对动作捕捉数据独特属性分析的指导下,输入动作捕捉序列被最佳分割成一组子序列。然后,我们将子序列投影到一对计算正交矩阵上,以探索子序列内部和子序列之间的强低秩特征。实验结果表明,与现有的算法相比,该算法能够有效地减小数据量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-rank based compact representation of motion capture data
In this paper, we propose a practical, elegant and effective scheme for compact mocap data representation. Guided by our analysis of the unique properties of mocap data, the input mocap sequence is optimally segmented into a set of subsequences. Then, we project the subsequences onto a pair of computational orthogonal matrices to explore strong low-rank characteristic within and among the subsequences. The experimental results show that the proposed scheme is much more effective for reducing the data size, compared with the existing techniques.
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