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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:18 October 2024

      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
Wen Lang 重庆理工大学计算机科学与工程学院
Gou Guanglei 重庆理工大学计算机科学与工程学院
Bai Ruifeng 重庆理工大学计算机科学与工程学院
Miao Wanyu 重庆理工大学计算机科学与工程学院
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
Zhang Pengfei 西安理工大学计算机科学与工程学院

相关机构

College of Computer Science and Engineering, Chongqing University of Technology
School of Computer Science and Engineering, Xi’an University of Technology
Human Machine Integration Intelligent Robot Shaanxi Provincial University Engineering Research Center
School of Information and Electronics,Beijing Institute of Technology
School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
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