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Triangulating the Square and Squaring the Triangle: Quadtrees and Delaunay Triangulations are Equivalent

机译:三角形和三角形的三角形:四叉树和三角形   Delaunay三角剖分是等价的

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摘要

We show that Delaunay triangulations and compressed quadtrees are equivalentstructures. More precisely, we give two algorithms: the first computes acompressed quadtree for a planar point set, given the Delaunay triangulation;the second finds the Delaunay triangulation, given a compressed quadtree. Bothalgorithms run in deterministic linear time on a pointer machine. Our workbuilds on and extends previous results by Krznaric and Levcopolous and Buchinand Mulzer. Our main tool for the second algorithm is the well-separated pairdecomposition(WSPD), a structure that has been used previously to findEuclidean minimum spanning trees in higher dimensions (Eppstein). We show thatknowing the WSPD (and a quadtree) suffices to compute a planar Euclideanminimum spanning tree (EMST) in linear time. With the EMST at hand, we can findthe Delaunay triangulation in linear time. As a corollary, we obtain deterministic versions of many previous algorithmsrelated to Delaunay triangulations, such as splitting planar Delaunaytriangulations, preprocessing imprecise points for faster Delaunay computation,and transdichotomous Delaunay triangulations.
机译:我们证明Delaunay三角剖分和压缩四叉树是等效结构。更准确地说,我们给出两种算法:第一种算法,给定Delaunay三角剖分,为平面点集计算压缩四叉树;第二种算法,给定压缩四叉树,找到Delaunay三角剖分。两种算法都在指针机上以确定的线性时间运行。我们的工作建立在Krznaric和Levcopolous以及Buchinand Mulzer的先前研究成果的基础上,并进行了扩展。我们用于第二种算法的主要工具是分离良好的对分解(WSPD),该结构以前曾用于查找高维数的欧几里得最小生成树(Eppstein)。我们表明,了解WSPD(和四叉树)就足以计算线性时间中的平面欧几里得最小生成树(EMST)。借助EMST,我们可以在线性时间内找到Delaunay三角剖分。作为推论,我们获得了许多与Delaunay三角剖分相关的先前算法的确定性版本,例如拆分平面Delaunay三角剖分,预处理不精确点以更快地进行Delaunay计算以及跨二分法Delaunay三角剖分。

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