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Higher-Order Geodesic Voronoi Diagrams in a Polygonal Domain with Holes

机译:具有孔的多边形域中的高级测地voronoi图

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We investigate the higher-order Voronoi diagrams of n point sites with respect to the geodesic distance in a simple polygon with h > 0 polygonal holes and c corners. Given a set of n point sites, the k~(th)-order Voronoi diagram partitions the plane into several regions such that all points in a region share the same k nearest sites. The nearest-site (first-order) geodesic Voronoi diagram has already been well-studied, and its total complexity is O(n+c). On the other hand, Bae and Chwa recently proved that the total complexity of the farthest-site ((n-1)~(st)-order) geodesic Voronoi diagram and the number of faces in the diagram are Θ(nc) and Θ(nh), respectively. It is of high interest to know what happens between the first-order and the (n-1) ~(st)-order geodesic Voronoi diagrams. In this paper we prove that the total complexity of the kth-order geodesic Voronoi diagram is Θ(k(n - k) + kc), and the number of faces in the diagram is Θ(k(n-k)+kh). Our results successfully explain the variation from the nearest-site to the farthest-site geodesic Voronoi diagrams, i.e., from k = 1 to k = n - 1, and also illustrate the formation of a disconnected Voronoi region, which does not occur in many commonly used distance metrics, such as the Euclidean, L_1, and city metrics. We show that the k~(th)-order geodesic Voronoi diagram can be computed in O(k~2(n+c) log(n+c)) time using an iterative algorithm.
机译:我们研究了与H> 0多边形孔和C角在简单多边形中的测地距的N点位点的高阶Voronoi图。给定一组n点站点,K〜(th)-Order voronoi图将平面分成几个区域,使得区域中的所有点共享相同的k最近站点。最近的站点(一阶)测地voronoi图已经很好地研究,其总复杂性是O(n + c)。另一方面,BAE和CHWA最近证明了最远站点((n-1)〜(st)的总复杂性((n-1)〜(st)的大声voronoi图和图中的面数是θ(nc)和θ (NH)分别。知道一阶和(n-1)〜(st)-(st)order geodesic voronoi图之间会发生什么是高兴趣的。在本文中,我们证明了kth阶Geodesic Voronoi图的总复杂性是θ(k(n-k)+ kc),图中的面部是θ(k(n-k)+ kh)。我们的结果成功地将最近站点的变化解释为最远地的GeodeSic Voronoi图,即从k = 1到k = n - 1,并且还示出了在许多方面的断开连接的voronoi区域的形成常用的距离指标,例如欧几里德,L_1和城市指标。我们表明,使用迭代算法,可以在O(k〜2(n + c)日志(n + c))中计算K〜(Th)-Order GeodeSic Voronoi图。

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