DocumentCode
3400448
Title
Dynamic Mesh Optimization with Curvature Dependent Subdivision for Polygonized Implicit Surfaces with Sharp Features
Author
Wei, Mingqiang ; Wu, Jianhuang ; Pang, Mingyong
Author_Institution
Shenzhen Institutes of Adv. Technol., Chinese Acad. of Sci., Shenzhen, China
Volume
3
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
331
Lastpage
335
Abstract
Converting from implicit surfaces into polygons and further optimization are a preprocessing step in rendering implicit surfaces for visualization and other uses. This paper describes a simple method for accurate polygonization of implicit surfaces with sharp features. First, an initial coarse mesh is generated by traditional Marching Cubes (MC) method, Then the mesh is used to approximate the implicit surface with simultaneous control of mesh vertex positions, regularity and normals. The refined mesh finally converges to a limit mesh which represents a high quality approximation of the implicit surface. To reconstruct small surface features, the optimization process combines with a curvature dependent mesh adaptive subdivision. For analyzing how close the refined mesh approximates the implicit surface, two error metrics are applied. One measures the deviations of the mesh vertices from the implicit surface, while the other measures the deviations of the mesh normals from the implicit surface.
Keywords
approximation theory; mesh generation; rendering (computer graphics); curvature dependent mesh adaptive subdivision; curvature dependent subdivision; dynamic mesh optimization; high quality approximation; marching cubes method; mesh approximates; mesh vertex position; optimization process; polygonized implicit surface; rendering; sharp feature; Approximation methods; Force; Laplace equations; Optimization; Surface reconstruction; Surface treatment;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.307
Filename
5655619
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