Laser & Infrared, Volume. 55, Issue 3, 359(2025)
3D point cloud registration algorithm based on pseudo feature quadrilateral
[4] [4] Azad M S, Mnnle D, Hesser J, et al. Point cloud registration for measuring shape dependence of soft tissue deformation by digital twins in head and neck surgery[J]. Biomedicine Hub, 2024, 9(1): 19-15.
[8] [8] Kang Y, Wang T, Song S, et al. Real-time modeling of the riveting process forces for aircraft panel structures[J]. Journal of Manufacturing Processes, 2024, 124: 90-109.
[13] [13] Timo S, Roland W, Jrg S, et al.3DSC-a dataset of superconductors including crystal structures[J]. Scientific Data, 2023, 10(1): 816-816.
[14] [14] Rusu R B, Blodow N, Marton Z C, et al. Aligning point cloud views using persistent feature histograms[C]//Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. Los Alamitos: IEEE Computer Society Press, 2008: 3384-3391.
[15] [15] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration[C]//Proceedings of the IEEE International Conference on Robotics and Automation. Los Alamitos: IEEE Computer Society Press, 2009: 3212-3217.
[17] [17] Ester, Martin, Hans-Peter Kriegel, Jrg Sander, et al. A density-based algorithm for discovering clusters in large spatial databases with noise[C]//KDD'96: proceeding of thd Second International Conference on knowledge Discovery and Data Mining, 1996: 226-231.
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WANG Yi, YAO Yong-kang, FU Zhi-chao, CHENG Jia. 3D point cloud registration algorithm based on pseudo feature quadrilateral[J]. Laser & Infrared, 2025, 55(3): 359
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Received: Jul. 20, 2024
Accepted: Apr. 23, 2025
Published Online: Apr. 23, 2025
The Author Email: YAO Yong-kang (2378986378@qq.com)