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Topologically accurate meshing using domain subdivision techniques.

机译:使用域细分技术的拓扑精确网格划分。

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摘要

The following fundamental problem is of theoretical interest and has applications in graphics, computer aided design, and the analysis of polynomial surfaces: Suppose we are given (1) a function F : Rn→R , (2) an interval formulation of F and ∇ F, (3) an axis aligned closed hypercube B0 ⊂ Rn , and (4) a distance epsilon > 0. Assuming 0 is a regular value of F, and some additional conditions on F, find a piecewise linear approximation V of {F = 0} in the sense that it lies within epsilon of and is isotopic to B 0 ∩ {F = 0}.;It is often the topological condition which is difficult to ensure. We present a theorem which introduces a new test for topological accuracy. Making use of this, we develop a family of algorithms very similar in form to the Vegter-Plantinga algorithm. They are correct for all n and we implement a variation which is practical when n ≤ 4. This is the first known numeric (as opposed to algebraic) algorithm which ensures the topological guarantee with n > 3. When n ≤ 3 this algorithm produces a mesh with densities similar to those produced by the Vegter-Plantinga algorithm. For n = 2 we describe an advancing boxes algorithm which is based on subdivision followed by an advancing front style progression. It has several unique characteristics, including an ability to ensure good approximations of surface normals and no requirement for precise sign determination of F.
机译:以下基本问题具有理论意义,并在图形,计算机辅助设计和多项式表面分析中都有应用:假设我们得到(1)函数F:Rn→R,(2)F和an的区间公式F,(3)轴对齐的闭合超立方体B0⊂Rn,并且(4)距离epsilon>0。假设0是F的正则值,并且在F上有一些其他条件,则求出{F = 0}的意义在于它位于B的ε内并且与B 0∩{F = 0}同位。这通常是拓扑条件,难以确保。我们提出了一个定理,该定理介绍了拓扑精度的新检验。利用这一点,我们开发了一系列与Vegter-Plantinga算法非常相似的算法。它们对于所有n都是正确的,并且我们实现了在n≤4时可行的变化。这是第一个已知的数值(与代数相反)算法,可确保n> 3的拓扑保证。当n≤3时,此算法会产生网格的密度类似于Vegter-Plantinga算法产生的密度。对于n = 2,我们描述了一种基于细分的前进框算法,然后是前进的前部样式进度。它具有几个独特的特征,包括确保良好地近似表面法线的能力,并且不需要精确确定F的符号。

著录项

  • 作者

    Galehouse, Benjamin T.;

  • 作者单位

    New York University.;

  • 授予单位 New York University.;
  • 学科 Mathematics.;Computer Science.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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