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Efficient indoor point cloud semantic segmentation method based on spatial serialization
Image Processing | 更新时间：2025-12-24

    • Efficient indoor point cloud semantic segmentation method based on spatial serialization

    • “In the field of indoor large-scale sparse point cloud semantic segmentation, researchers have proposed a novel network architecture that effectively enhances global structural modeling capabilities and geometric detail preservation, providing a scalable solution for efficient and high-precision semantic segmentation of large-scale point clouds.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 12, Pages: 1894-1904(2025)

    • DOI：10.37188/CJLCD.2025-0197    

      CLC： TP391
    • CSTR：32172.14.CJLCD.2025-0197    

    • Received：22 September 2025，

      Revised：2025-10-23，

      Published：05 December 2025

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  • CHEN Mingtao, WANG Haoting, SHANG Yanfei, et al. Efficient indoor point cloud semantic segmentation method based on spatial serialization[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(12): 1894-1904. DOI： 10.37188/CJLCD.2025-0197. CSTR： 32172.14.CJLCD.2025-0197.

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