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Undersampled non-uniform density multi-station 3D point cloud alignment method based on manifold clustering
Image Processing | 更新时间：2024-09-10
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    • Undersampled non-uniform density multi-station 3D point cloud alignment method based on manifold clustering

    • “In the field of 3D point cloud registration, researchers have proposed an undersampling method based on manifold clustering, which effectively solves the problem of uneven point cloud density and improves registration accuracy and efficiency.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 9, Pages: 1255-1263(2024)

    • DOI：10.37188/CJLCD.2023-0318    

      CLC： TP391

    • Received：07 October 2023，

      Revised：07 November 2023，

      Published：05 September 2024

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  • NIE Jixiang, WANG Yibo, SHEN Qiubing, et al. Undersampled non-uniform density multi-station 3D point cloud alignment method based on manifold clustering[J]. Chinese journal of liquid crystals and displays, 2024, 39(9): 1255-1263. DOI： 10.37188/CJLCD.2023-0318.

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