Realizability of free spaces of curves

IF 0.4 4区 计算机科学 Q4 MATHEMATICS Computational Geometry-Theory and Applications Pub Date : 2024-11-22 DOI:10.1016/j.comgeo.2024.102151
Hugo A. Akitaya , Maike Buchin , Majid Mirzanezhad , Leonie Ryvkin , Carola Wenk
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Abstract

The free space diagram is a popular tool to compute the well-known Fréchet distance. As the Fréchet distance is used in many different fields, many variants have been established to cover the specific needs of these applications. Often the question arises whether a certain pattern in the free space diagram is “realizable”, i.e., whether there exists a pair of polygonal chains whose free space diagram corresponds to it. The answer to this question may help in deciding the computational complexity of these distance measures, as well as allowing to design more efficient algorithms for restricted input classes that avoid certain free space patterns. Therefore we study the inverse problem: Given a potential free space diagram, do there exist curves that generate this diagram?
Our problem of interest is closely tied to the classic Distance Geometry problem. We settle the complexity of Distance Geometry in R>2, showing R-hardness. We use this to show that for curves in R2 the realizability problem is R-complete, both for continuous and discrete Fréchet distances. We prove that the continuous case in R1 is only weakly NP-hard, and we provide a pseudo-polynomial time algorithm and show that it is fixed-parameter tractable. Interestingly, for the discrete case in R1 we show that the problem becomes solvable in polynomial time.
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曲线自由空间的可实现性
自由空间图是一种流行的工具,用于计算众所周知的fr切距离。由于在许多不同的领域中使用了fr切特距离,因此已经建立了许多变体来满足这些应用程序的特定需求。经常出现的问题是,自由空间图中的某个图案是否“可实现”,即是否存在一对多边形链,其自由空间图与之相对应。这个问题的答案可能有助于确定这些距离度量的计算复杂性,并允许为避免某些自由空间模式的受限输入类设计更有效的算法。因此我们研究反问题:给定一个势自由空间图,是否存在生成这个图的曲线?我们感兴趣的问题与经典的距离几何问题密切相关。我们在R>;2中解决了距离几何的复杂性,并给出了∃r硬度。我们用它来证明,对于R≥2的曲线,无论是对于连续的还是离散的fr距离,可实现问题都是∃R完全的。我们证明了R1中的连续情况是弱np困难的,并给出了一个伪多项式时间算法,证明了它是定参数可处理的。有趣的是,对于R1中的离散情况我们证明了这个问题在多项式时间内是可解的。
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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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