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    • Hand-object pose estimation method based on fusion feature enhancement and complementary

    • In the field of hand object interaction pose estimation, researchers have proposed the HOFEC model, which effectively improves the accuracy of hand and object pose estimation and provides a new solution for solving occlusion problems.
    • Vol. 30, Issue 5, Pages: 1433-1449(2025)   

      Received:21 May 2024

      Revised:2024-10-18

      Published:16 May 2025

    • DOI: 10.11834/jig.240272     

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  • Gu Siyuan, Gao Shu. 2025. Hand-object pose estimation method based on fusion feature enhancement and complementary. Journal of Image and Graphics, 30(5):1433-1449 DOI: 10.11834/jig.240272.
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相关作者

GU Siyuan 武汉理工大学计算机与人工智能学院
GAO Shu 武汉理工大学计算机与人工智能学院
Li Qiang 西北工业大学
Wang Zhi 北京空间机电研究所
Cui Shuwei 北京空间机电研究所
He Mingyi 西北工业大学
Song Xiaogang 西安理工大学计算机科学与工程学院;人机共融智能机器人陕西省高校工程研究中心
Tan Yuping 西安理工大学计算机科学与工程学院

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Northwestern Polytechnical University
Beijing Institute of Space Mechanics & Electricity
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Human Machine Integration Intelligent Robot Shaanxi Provincial University Engineering Research Center
Wangxuan Institute of Computer Technology, Peking University
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