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6 November 2023 NURBS surface fitting from scattered point cloud combining patch growing and PSO
Shangbo Gao, Chen Ma, Qingxin Yang, Yue Shen, Deming Kong
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Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 129214A (2023) https://doi.org/10.1117/12.2691763
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia
Abstract
In order to construct high precision Non-Uniform Rational B-Spline (NURBS) surface from scattered point cloud, a new method is proposed combining patch growing and Particle Swarm Optimization (PSO). In this method, point cloud is divided into point cloud patches and fitted into NURBS patches successively. The process of fitting new point cloud patch is constrained by the previously constructed NURBS patch to achieve G1 continuity between NURBS patches. The PSO algorithm is used to construct each of the NURBS patches in just one step. The dimension of particle in the PSO algorithm is reduced so that the process of finding the best solution is simplified. The experimental results show that compared with the traditional NURBS fitting method and the NURBS fitting method using PSO algorithm, the root mean square error and the error variance are significantly reduced by using the proposed method.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Shangbo Gao, Chen Ma, Qingxin Yang, Yue Shen, and Deming Kong "NURBS surface fitting from scattered point cloud combining patch growing and PSO", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 129214A (6 November 2023); https://doi.org/10.1117/12.2691763
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KEYWORDS
Point clouds
Particle swarm optimization
Reverse engineering
Engineering
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