title: A Triangle Mesh Standardization Method Based on Particle Swarm Optimization.
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.
authors: 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.|College of Information and Control Engineering, China University of Petroleum, Qingdao, China.
authors: Wuli
authors: http://orcid.org/0000-0003-0688-0961
authors: W
authors: Wang
authors: 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.
authors: Liming
authors: L
authors: Duan
authors: 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.
authors: Yang
authors: Y
authors: Bai
authors: 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.
authors: Haoyu
authors: H
authors: Wang
authors: 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.
authors: Hui
authors: H
authors: Shao
authors: Engineering Research Center of Industrial Computed Tomography Nondestructive Testing of the Education Ministry of China, Chongqing University, Chongqing, China.
authors: Siyang
authors: S
authors: Zhong
mesh_terms: D000465:Algorithms; D007090:Image Interpretation, Computer-Assisted / Q000379:methods* / Q000592:standards; D008962:Models, Theoretical