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空间散乱点集Delaunay四面体剖分切割算法

Delaunay Triangulation Cutting Algorithm for A Set of Irregularly Located Spatial Points

  • 摘要: 提出最大空圆凸多边形和最大空球凸多面体的概念.在此基础上,提出一种空间散乱点集Delaunay四面体剖分算法,即对空间散乱点集首先进行最大空球凸多面体剖分,然后在多面体内部作Delaunay四面体剖分.这种方法消除了"退化"现象(平面3个以上点共圆或空间4个以上点共球面)引起的潜在错误.最后分析了一类常见的Delaunay四面体剖分算法的潜在错误.

     

    Abstract: Maximum empty-circle convex polygon and maximum empty-sphere convex polyhedron are introduced to compute triangulation on a set of irregularly located spatial points. The domain bounded by the convex hull of a set of spatial points is divided to maximum empty-sphere convex polyhedrons firstly, then the triangulation is followed inside these polyhedrons. This method successfully solves the degeneracy problem of more than three points on a plane sharing a common circle or more than four spatial points sharing a common sphere. A possible error occurring in a class of triangulation algorithms is presented in this paper.

     

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