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Two-dimensional line space Voronoi Diagram

机译:二维线路空间Voronoi图

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Given a set of points called sites, the Voronoi diagram is a partition of the plane into sets of points having the same closest site. Several generalizations of the Voronoi diagram have been studied, mainly Voronoi diagrams for different distances (other than the Euclidean one), and Voronoi diagrams for sites that are not necessarily points (line segments for example). In this paper we present a new generalization of the Voronoi diagram in the plane, in which we shift our interest from points to lines, that is, we compute the partition of the set of lines in the plane into sets of lines having the same closest site (where sites are points in the plane). We first define formally this diagram and give first properties. Then we use a duality relationship between points and lines to visualize this data structure and give more properties. We show that the size of this line space Voronoi diagram for n sites is in Θ(n{sup}2) and give an optimal algorithm for its explicit computation. We then show a remarkable relationship between this diagram and the dual arrangement of the sites and give a new result on an arrangement of lines: we show that the size of the zone of a line augmented with its incident faces is still in O(n). We finally apply this result to show that the size of the zone of a line in the line space Voronoi diagram is in O(n).
机译:给定一组名为SAIRS的点,Voronoi图是平面的分区成具有相同最接近站点的点组。已经研究了voronoi图的几个概括,主要是针对不同距离的Voronoi图(除了欧几里德的一个),以及不一定点(例如,线段)的站点的Voronoi图。在本文中,我们在飞机中提出了一个新的voronoi图的概括,其中我们将兴趣转移到行,即,我们将平面中的线条集合的分区分成相同最接近的线组网站(在飞机上有点的位置)。我们首先定义本图并提供第一个属性。然后我们在点和行之间使用二元关系来可视化此数据结构并提供更多属性。我们表明,N个站点的该行空间Voronoi图的大小是θ(n {sup} 2),并为其显式计算提供最佳算法。然后,我们在该图之间和网站的双重布置之间显示出显着的关系,并在排列线上给出新的结果:我们表明,通过其入射面增强的线条的大小仍然在O(n)中。我们终于应用了这个结果,以表明线路空间Voronoi图中的行的大小在O(n)中。

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