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一种基于粒子群优化的三角网格标准化方法。

A Triangle Mesh Standardization Method Based on Particle Swarm Optimization.

作者信息

Wang Wuli, Duan Liming, Bai Yang, Wang Haoyu, Shao Hui, Zhong Siyang

机构信息

College of Mechanical Engineering, Chongqing University, Chongqing, China.

Engineering Research Center of Industrial Computed Tomography Nondestructive Testing of the Education Ministry of China, Chongqing University, Chongqing, China.

出版信息

PLoS One. 2016 Aug 10;11(8):e0160657. doi: 10.1371/journal.pone.0160657. eCollection 2016.

Abstract

To enhance the triangle quality of a reconstructed triangle mesh, a novel triangle mesh standardization method based on particle swarm optimization (PSO) is proposed. First, each vertex of the mesh and its first order vertices are fitted to a cubic curve surface by using least square method. Additionally, based on the condition that the local fitted surface is the searching region of PSO and the best average quality of the local triangles is the goal, the vertex position of the mesh is regulated. Finally, the threshold of the normal angle between the original vertex and regulated vertex is used to determine whether the vertex needs to be adjusted to preserve the detailed features of the mesh. Compared with existing methods, experimental results show that the proposed method can effectively improve the triangle quality of the mesh while preserving the geometric features and details of the original mesh.

摘要

为提高重构三角网格的三角形质量,提出了一种基于粒子群优化(PSO)的新型三角网格标准化方法。首先,利用最小二乘法将网格的每个顶点及其一阶顶点拟合到三次曲面上。此外,基于局部拟合曲面为粒子群优化的搜索区域且局部三角形的最佳平均质量为目标这一条件,对网格的顶点位置进行调整。最后,利用原始顶点与调整后顶点之间法向角的阈值来确定顶点是否需要调整,以保留网格的细节特征。与现有方法相比,实验结果表明,该方法在保留原始网格几何特征和细节的同时,能有效提高网格的三角形质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e78/4979957/7a5a7612c2c8/pone.0160657.g001.jpg

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