使用自适应四面体化的隐式曲面可视化

H. Müller, Michael Wehle
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引用次数: 27

摘要

隐式定义曲面f(x,y,z)=0通常通过多边形的近似网格来可视化。过去实践的一种计算近似网格的方法是将感兴趣的区域细分为空间单元,通过编译被表面遍历的这些单元的表面模式,从中提取表面。我们的解决方案基本上遵循了这种方法,但在几个方面对其进行了改进。空间使用一种既不需要多次传递也不存储邻域信息的方案进行自适应分区。此外,近似表面网格的单元是所得空间单元分解的一部分。为了改善表面网格,不需要“顶点捕捉”的后处理步骤。
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Visualization of Implicit Surfaces Using Adaptive Tetrahedrizations
Implicitly defined surfaces f(x,y,z)=0 are usually visualized by an approximating mesh of polygons. One approach of calculating an approximating mesh, practiced in the past, is to subdivide the regions of interests into spatial cells from which the surface is extracted by compiling surface patterns of those cells which are traversed by the surface. Our solution basically follows this approach, but improves it with respect to several aspects. The space is partitioned adaptively using a scheme which neither requires multiple passes nor storing neighborhood information. Furthmore, the cells of the approximating surface mesh are part of the resulting spatial cell decomposition. A post-processing step of ''vertex snapping'' in order to improve the surface mesh is not required.
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