Research on complex surface reconstruction method based on laser point cloud

Fubin Xu; Yuchao Cao; Jingjing Zeng

doi:10.1117/12.2634401

12 May 2022 Research on complex surface reconstruction method based on laser point cloud

Fubin Xu, Yuchao Cao, Jingjing Zeng

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121730S (2022) https://doi.org/10.1117/12.2634401
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

Aiming at the problems of large amount of laser point cloud data, uneven distribution of point cloud and unsmooth surface of reconstructed model, a moving least square method with value-added conditions is proposed to smooth sample the point cloud, and by setting the search neighborhood radius, the point cloud surface is smoother and the detail features are clearer; At the same time, a Delaunay triangular mesh reconstruction algorithm based on multi criteria is proposed to realize the model reconstruction of point cloud after smooth sampling, so as to improve the reconstruction accuracy of large-scale point cloud, and improve the effect of meshing model by manually adjusting parameters. The feasibility of this method is verified by comparative experiments.

Citation Download Citation

Fubin Xu, Yuchao Cao, and Jingjing Zeng "Research on complex surface reconstruction method based on laser point cloud", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121730S (12 May 2022); https://doi.org/10.1117/12.2634401

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