Development of the surface mesh quality improvement algorithm
Maria Savchenko, Olga Vladimirovna Egorova, Ichiro Hagiwara, Владимир Васильевич Савченко
Abstract
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Maria Savchenko, Olga Vladimirovna Egorova, Ichiro Hagiwara, Владимир Васильевич Савченко
Abstract
Open-access reader
In this paper, we present mesh improvement algorithms based on quasi-statistical modeling. A mesh quality parameter is modeled as a random variable with the desirable distribution based on an initial topology of the mesh. The goal of the presented research is to improve the polygonal mesh by producing the mesh elements with a Gaussian (normal) distribution of the mesh quality parameter values.
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In this paper, we present mesh improvement algorithms based on quasi-statistical modeling. A mesh quality parameter is modeled as a random variable with the desirable distribution based on an initial topology of the mesh. The goal of the presented research is to improve the polygonal mesh by producing the mesh elements with a Gaussian (normal) distribution of the mesh quality parameter values.
Key concepts: Laplacian smoothing, T-vertices, Computer science, Gaussian, Algorithm, Triangle mesh, Distribution (mathematics), Mesh generation