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A Divide-and-Conquer Algorithm for Computing Voronoi Diagrams

机译:计算Voronoi图的分治算法

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Identifying the closest of a set of locations typically requires computing the distance to each of these locations, given a current position. However, Voronoi Diagrams precompute the geometric areas that each of these locations is closest to in order to ameliorate the cost of computing distances later on. Problematically, the initial computations required to generate a Voronoi Diagram can be computationally expensive. Naive approaches to generating discretized Voronoi Diagrams require every discretized position to be analyzed with the set of locations. This paper introduces a new algorithm to compute discretized Voronoi Diagrams using a divide-and-conquer approach. Rather than calculate every position, our approach calculates the positions at the four corners of a quadrant. If the corners belong to the same region, there is no need to subdivide this quadrant anymore; but if they are different than the original quadrant is subdivided into smaller quadrants. The process is repeated recursively until the entire diagram has been calculated appropriately.
机译:确定一组位置中最接近的位置通常需要在给定当前位置的情况下计算到这些位置中每个位置的距离。但是,Voronoi图会预先计算这些位置中每个位置最接近的几何区域,以减轻以后计算距离的成本。有问题的是,生成Voronoi图所需的初始计算在计算上可能会很昂贵。生成离散化Voronoi图的幼稚方法要求对每个离散化位置进行位置集分析。本文介绍了一种采用分治法来计算离散Voronoi图的新算法。我们的方法不是计算每个位置,而是计算一个象限的四个角的位置。如果这些角属于同一区域,则无需再细分该象限;但如果它们与原始象限不同,则细分为较小的象限。递归地重复该过程,直到正确地计算了整个图为止。

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