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    • Combining multi-view controlled fusion and joint correlation for 3D human pose estimation

    • In the field of 3D human pose estimation, the CFJCNet algorithm optimizes the 2D estimation results by combining multi view fusion and joint correlation, effectively improving the accuracy of 3D pose estimation.
    • Vol. 30, Issue 1, Pages: 254-267(2025)   

      Received:15 January 2024

      Revised:2024-05-13

      Published:16 January 2025

    • DOI: 10.11834/jig.230908     

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  • Dong Jing, Zhang Hongru, Fang Xiaoyong, Zhou Dongsheng, Yang Xin, Zhang Qiang, Wei Xiaopeng. 2025. Combining multi-view controlled fusion and joint correlation for 3D human pose estimation. Journal of Image and Graphics, 30(01):0254-0267 DOI: 10.11834/jig.230908.
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相关作者

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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