A new algorithm for computing visibility graphs of polygonal obstacles in the plane

Q4 Mathematics
D. Chen, Haitao Wang
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引用次数: 10

Abstract

Given a set of $h$ pairwise disjoint polygonal obstacles with a total of $n$ vertices in the plane, the vertex-vertex visibility graph is an undirected graph whose nodes are vertices of the obstacles and whose edges are pairs of visible vertices. The vertex-edge and edge-edge visibility graphs are defined similarly. Ghosh and Mount gave a well-known output-sensitive $O(n\log n+k)$ time algorithm for computing these visibility graphs, where $k$ is the size of the corresponding graph. By developing new techniques based on an extended corridor structure, we augment Ghosh and Mount’s algorithm to build these visibility graphs in $O(n+h\log h+k)$ time, after the free space is triangulated. The new algorithm improves Ghosh and Mount’s algorithm by reducing its additive $O(n\log n)$ time factor to $O(n + h\log h)$. Like Ghosh and Mount’s algorithm, our algorithm can also compute several important structures such as the funnel structure and the enhanced visibility graph, which may have other applications.
一种计算平面多边形障碍物可见性图的新算法
给定一组$h$对不相交的多边形障碍物,平面上共有$n$个顶点,顶点可见性图是一个无向图,其节点为障碍物的顶点,其边为可见顶点对。顶点-边缘和边缘-边缘可见性图的定义类似。Ghosh和Mount给出了一个众所周知的输出敏感的$O(n\log n+k)$时间算法来计算这些可见性图,其中$k$是相应图的大小。通过开发基于扩展走廊结构的新技术,我们增强了Ghosh和Mount的算法,在自由空间被三角化后,在$O(n+h\log h+k)$时间内构建这些可见性图。新算法改进了Ghosh和Mount的算法,将其累加性的$O(n\log n)$时间因子降低到$O(n + h\log h)$。与Ghosh和Mount的算法一样,我们的算法也可以计算一些重要的结构,如漏斗结构和增强可见性图,这可能有其他的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
4
审稿时长
>12 weeks
期刊介绍: The International Journal of Computational Geometry & Applications (IJCGA) is a quarterly journal devoted to the field of computational geometry within the framework of design and analysis of algorithms. Emphasis is placed on the computational aspects of geometric problems that arise in various fields of science and engineering including computer-aided geometry design (CAGD), computer graphics, constructive solid geometry (CSG), operations research, pattern recognition, robotics, solid modelling, VLSI routing/layout, and others. Research contributions ranging from theoretical results in algorithm design — sequential or parallel, probabilistic or randomized algorithms — to applications in the above-mentioned areas are welcome. Research findings or experiences in the implementations of geometric algorithms, such as numerical stability, and papers with a geometric flavour related to algorithms or the application areas of computational geometry are also welcome.
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