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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:13 May 2024

      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

Yu Lingxiao 南京航空航天大学计算机科学与技术学院
Hao Jie 南京航空航天大学计算机科学与技术学院;软件新技术与产业化协同创新中心
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Yuan Heng 辽宁工程技术大学软件学院
Liu Jie 辽宁工程技术大学软件学院

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School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
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