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3D human joint point recognition based on weakly supervised migration network
更新时间：2025-05-26

    • 3D human joint point recognition based on weakly supervised migration network

    • “In the field of 3D human joint recognition, researchers have proposed a new method based on weakly supervised transfer networks, which effectively solves the problems of depth ambiguity and occlusion, and improves the recognition effect.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 1, Pages: 251-258(2024)
    • 作者机构：

      1.重庆大学 光电技术教育部重点实验室，重庆 400044

      2.重庆警察学院 基础教研部，重庆 401331

    • DOI：10.13229/j.cnki.jdxbgxb.20220280    

      CLC： TP391

    • Received：21 March 2022，

      Published：30 January 2024

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  • SUN Zhi-yong,LI Hong-you,YE Jun-yong.3D human joint point recognition based on weakly supervised migration network[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(01):251-258. DOI： 10.13229/j.cnki.jdxbgxb.20220280.

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