Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 6, 867(2025)

3D hand reconstruction method based on adaptive occlusion recovery and topology-pose bidirectional perception

Jia LIU1, Nanxuan HUANG1, Dapeng CHEN1、*, and Lina WEI2
Author Affiliations
  • 1School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2School of Computer and Computing Science, Hangzhou City University, Hangzhou 310015, China
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    References(38)

    [1] AN P, LIU Y Y, ZHOU M et al. A lightweight method for human body and hand mesh reconstruction[J]. Journal of Signal Processing, 40, 1185-1196(2024).

    [2] LIU Z B, ZHANG S, BAO Y et al. Progress of application research on cheminformatics in deep learning[J]. Chinese Journal of Applied Chemistry, 40, 360-373(2023).

    [4] GUO S X, CAI Q, QI L et al. CLIP-Hand3D: exploiting 3D hand pose estimation via context-aware prompting[C], 4896-4907(2023).

    [6] CHEN X Y, LIU Y F, DONG Y J et al. MobRecon: mobile-friendly hand mesh reconstruction from monocular image[C], 20544-20554(2022).

    [10] XUE H W, WANG M L. Hand reconstruction incorporating biomechanical constraints and multi-modal data[J]. Journal of Graphics, 44, 794-800(2023).

    [20] YANG L L, CHEN S C, YAO A. SemiHand: semi-supervised hand pose estimation with consistency[C], 11364-11373(2021).

    [37] ZHENG Y, YANG S Y, WANG T et al. Near infrared spectral analysis based on data augmentation strategy and convolutional neural network[J]. Chinese Journal of Analytical Chemistry, 52, 1266-1276(2024).

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    Jia LIU, Nanxuan HUANG, Dapeng CHEN, Lina WEI. 3D hand reconstruction method based on adaptive occlusion recovery and topology-pose bidirectional perception[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(6): 867

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    Paper Information

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    Received: Dec. 9, 2024

    Accepted: --

    Published Online: Jul. 14, 2025

    The Author Email: Dapeng CHEN (dpchen@nuist.edu.cn)

    DOI:10.37188/CJLCD.2024-0345

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