关于加权Voronoi图和平分线图的识别与重构

IF 0.4 4区 计算机科学 Q4 MATHEMATICS
Günther Eder, Martin Held, Stefan de Lorenzo, Peter Palfrader
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引用次数: 0

摘要

加权平分线图是一种几何图,它的面被边缘所包围,边缘是(点)点对的加权平分线的一部分,这样它的每个面都是由一个点定义的。平分线图的一个突出例子是有限点集的乘法加权Voronoi图,它将平面细分为由圆弧和直线段包围的Voronoi面。计算各种类型的等分图的几种算法是已知的。在本文中,我们将问题反过来:给定平面的一个划分G为若干面,如果存在解,则求出一组点和合适的权值,使得G是加权点的等分图。如果G是一个三次正则图,那么我们可以在O(m)时间内确定它是否是一个等分图,其中m表示G的组合复杂度,同时我们可以识别最多两个候选解,使得G可以是它们的乘加权Voronoi图。此外,我们表明,如果G由一组不相连的直线和圆给出,则可以将G识别为乘法加权Voronoi图,并在O(mlog (m))时间内找到所有可能的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the recognition and reconstruction of weighted Voronoi diagrams and bisector graphs

A weighted bisector graph is a geometric graph whose faces are bounded by edges that are portions of multiplicatively weighted bisectors of pairs of (point) sites such that each of its faces is defined by exactly one site. A prominent example of a bisector graph is the multiplicatively weighted Voronoi diagram of a finite set of points which induces a tessellation of the plane into Voronoi faces bounded by circular arcs and straight-line segments. Several algorithms for computing various types of bisector graphs are known. In this paper we reverse the problem: Given a partition G of the plane into faces, find a set of points and suitable weights such that G is a bisector graph of the weighted points, if a solution exists. If G is a graph that is regular of degree three then we can decide in O(m) time whether it is a bisector graph, where m denotes the combinatorial complexity of G. In the same time we can identify up to two candidate solutions such that G could be their multiplicatively weighted Voronoi diagram. Additionally, we show that it is possible to recognize G as a multiplicatively weighted Voronoi diagram and find all possible solutions in O(mlogm) time if G is given by a set of disconnected lines and circles.

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来源期刊
CiteScore
1.60
自引率
16.70%
发文量
43
审稿时长
>12 weeks
期刊介绍: Computational Geometry is a forum for research in theoretical and applied aspects of computational geometry. The journal publishes fundamental research in all areas of the subject, as well as disseminating information on the applications, techniques, and use of computational geometry. Computational Geometry publishes articles on the design and analysis of geometric algorithms. All aspects of computational geometry are covered, including the numerical, graph theoretical and combinatorial aspects. Also welcomed are computational geometry solutions to fundamental problems arising in computer graphics, pattern recognition, robotics, image processing, CAD-CAM, VLSI design and geographical information systems. Computational Geometry features a special section containing open problems and concise reports on implementations of computational geometry tools.
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