A hybrid approach to keyframe extraction from motion capture data using curve simplification and principal component analysis
A hybrid approach to keyframe extraction from motion capture data using curve simplification and principal component analysis
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DOI：
10.1002/tee.22029
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发表时间：
2014-09
影响因子：
1
通讯作者：
T. Miura;Takaaki Kaiga;Takeshi Shibata;Hiroaki Katsura;Katsubumi Tajima;H. Tamamoto
中科院分区：
文献类型：
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作者：
T. Miura;Takaaki Kaiga;Takeshi Shibata;Hiroaki Katsura;Katsubumi Tajima;H. Tamamoto
本文提出了一种从运动捕捉数据中提取关键帧的新方法。采用了曲线简化算法和包括主成分分析在内的初始化过程相结合的混合方法。所开发的方法在不降低性能的情况下高速地自动提取适当数量的关键帧。实验结果证明了该方法的有效性。©2014日本电气工程师学会。作者：John Wiley&Sons，Inc.
In this paper, we propose a novel method to extract keyframes from motion capture data. A hybrid approach, which combines a curve‐simplification algorithm with an initialization procedure including principal component analysis, is adopted. The developed method automatically extracts an appropriate number of keyframes at high speed without performance degradation. Experimental results prove the effectiveness of the present method. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.