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Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space

机译:通过空间中信封的分而治之构造二维Voronoi图

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We present a general framework for computing Voronoi diagrams of different classes of sites under various distance functions in R2. Most diagrams mentioned in the paper are in the plane. However, the framework is sufficiently general to support diagrams embedded on a family of two-dimensional parametric surfaces in three-dimensions. The computation of the diagrams is carried out through the construction of envelopes of surfaces in 3-space provided by Cgal (the Computational Geometry Algorithm Library). The construction of the envelopes follows a divide-and-conquer approach. A straightforward application of the divide-and-conquer approach for Voronoi diagrams yields algorithms that are inefficient in the worst case. We prove that through randomization, the expected running time becomes near-optimal in the worst case. We also show how to apply the new framework and other existing tools from Cgal to compute minimum-width annuli of sets of disks, which requires the computation of two Voronoi diagrams of different types, and of the overlay of the two diagrams. We do not assume general position. Namely, we handle degenerate input, and produce exact results.
机译:我们提出了一个通用框架,用于计算R2中各种距离函数下不同类别站点的Voronoi图。本文提到的大多数图表都在飞机上。但是,该框架具有足够的通用性,可以支持在三维二维参数化曲面族中嵌入的图。通过由Cgal(计算几何算法库)提供的3空间中的曲面包络的构建来执行图的计算。信封的构造遵循分而治之的方法。对Voronoi图进行分治法的直接应用产生的算法在最坏的情况下效率低下。我们证明,通过随机化,在最坏的情况下,预期的运行时间变得接近最佳。我们还展示了如何应用Cgal的新框架和其他现有工具来计算磁盘集的最小宽度环,这需要计算两个不同类型的Voronoi图以及两个图的覆盖。我们不承担一般立场。即,我们处理退化的输入,并产生精确的结果。

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