Low-rank based compact representation of motion capture data

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

Abstract

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.
基于低秩的运动捕捉数据的紧凑表示
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。
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