Optics and Precision Engineering, Volume. 30, Issue 19, 2379(2022)

Global hand pose estimation based on pixel voting

Jingang LIN... Dongnian LI*, Chengjun CHEN and Zhengxu ZHAO |Show fewer author(s)
Author Affiliations
  • School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao266520, China
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    Figures & Tables(12)
    Overall structure of global hand pose estimation network based on pixel voting
    ASPP module structure
    Generate pose label map
    Aquisition of global hand pose
    Schematic diagram of hand 3D rotation axis
    Basic hand motion template
    Some examples of synthetic datasets
    Prediction error of global hand pose under different balance factors
    Global hand pose prediction accuracy of different methods on test dataset
    Global hand pose prediction results of depth image of real hand
    • Table 1. Global hand pose prediction error for various basic actions

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      Table 1. Global hand pose prediction error for various basic actions

      CategoryPitchYawRollAvg. error
      T17.2346.1064.1645.835
      T26.8635.5834.5625.669
      T36.0475.2933.2584.866
      T45.3994.2363.1894.275
      T55.4644.8433.2734.527
    • Table 2. Global hand pose prediction error of different methods on test dataset

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      Table 2. Global hand pose prediction error of different methods on test dataset

      MethodPitchYawRollAvg. error
      Ours6.2015.2183.6895.036
      FSA-Net197.1426.7408.0997.327
      Method 19.04113.15619.32213.840
      Hopenet1845.37058.136110.90171.469
      Method 237.86383.93997.18272.995
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    Jingang LIN, Dongnian LI, Chengjun CHEN, Zhengxu ZHAO. Global hand pose estimation based on pixel voting[J]. Optics and Precision Engineering, 2022, 30(19): 2379

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    Paper Information

    Category: Information Sciences

    Received: May. 16, 2022

    Accepted: --

    Published Online: Oct. 27, 2022

    The Author Email: LI Dongnian (dongnianli@qut.edu.cn)

    DOI:10.37188/OPE.20223019.2379

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