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Home > Archive>Volume 27, Issue 5, 2018 >17-25. DOI:10.15888/j.cnki.csa.006358
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Human Motion Capture Data Recovery Based on Skeleton Constraint
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    Abstract:

    For the situation that the adjacent markers of Motion Capture (MOCAP) data missing for a period of time due to lights and other factors when practically gathering data, a new MOCAP data recovery algorithm is proposed by using the latent correlation and the skeleton constraint in MOCAP data. The algorithm firstly transforms the MOCAP data to represent the changes of the relative position of adjacent markers to acquire the skeleton constraint term. Then the sparse representation and the skeleton constraint term are used for dictionary training which is utilized to recovery missing data. The experiment results show that the algorithm can improve the recovery accuracy of the coordinates of the missing markers and increase the bone length recovery accuracy to 10-4 cm, and verify the feasibility and effectiveness of the algorithm.

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汪亚明,鲁涛,韩永华.基于骨骼约束的人体运动捕捉数据失真恢复.计算机系统应用,2018,27(5):17-25

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History
  • Received:September 12,2017
  • Revised:September 30,2017
  • Online: March 12,2018
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Links:Journal of Software中国科学院软件研究所中国计算机学会中国科学院国家自然科学基金委员会
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