翻译下的离散距离

K. Bringmann, Marvin Künnemann, A. Nusser
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引用次数: 3

摘要

离散fracimchet距离是比较多边形曲线的常用度量。一个重要的变体是翻译下的离散fr切距离,它可以在不同的空间域中检测到相似的运动模式。对于平面上长度为n的多边形曲线,已知最快的算法运行时间为Õ(n5)[12]。这是通过构造一个大小为Õ(n4)的磁盘排列来实现的,然后遍历其面,同时在大小为N:= Õ(n5)的有向网格图中更新可达性,这可以在每次更新Õ(√N)的时间内完成[27]。这篇文章的贡献是双重的。首先,尽管求解有向网格图中的动态可达性比Õ(√N)更快是一个开放问题,但我们改进了这部分算法:我们观察到有向网格图中动态s-t-可达性的离线变体已经足够了,并且我们在每次更新的平算时间Õ(N /3)内求解该变体,导致在平移下离散fr切距离的运行时间Õ(N4.66)得到改善。其次,在强指数时间假设下,我们通过证明在平移下离散fr切距离运行时间的条件下界为N4 - 0(1),证明在最坏情况下构造大小为Õ(N4)的排列是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discrete Fréchet Distance under Translation
The discrete Fréchet distance is a popular measure for comparing polygonal curves. An important variant is the discrete Fréchet distance under translation, which enables detection of similar movement patterns in different spatial domains. For polygonal curves of length n in the plane, the fastest known algorithm runs in time Õ(n5) [12]. This is achieved by constructing an arrangement of disks of size Õ(n4), and then traversing its faces while updating reachability in a directed grid graph of size N := Õ(n5), which can be done in time Õ(√ N) per update [27]. The contribution of this article is two-fold. First, although it is an open problem to solve dynamic reachability in directed grid graphs faster than Õ(√ N), we improve this part of the algorithm: We observe that an offline variant of dynamic s-t-reachability in directed grid graphs suffices, and we solve this variant in amortized time Õ(N1/3) per update, resulting in an improved running time of Õ(N4.66) for the discrete Fréchet distance under translation. Second, we provide evidence that constructing the arrangement of size Õ(N4) is necessary in the worst case by proving a conditional lower bound of n4 - o(1) on the running time for the discrete Fréchet distance under translation, assuming the Strong Exponential Time Hypothesis.
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