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Low Distortion Maps Between Point Sets

机译:点集之间的低失真贴图

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摘要

We initiate the study of the minimum distortion problem: given as input two n-point metric spaces, find a bijection between them with minimum distortion. This is an abstraction of certain geometric problems in shape and image matching, and is also a natural variation and extension of the fundamental problems of graph isomorphism and bandwidth. Our focus is on algorithms that find an optimal (or near-optimal) bijection when the distortion is fairly small. We present a polynomial time algorithm that finds an optimal bijection between two line metrics, provided the distortion is less than 3 + 2(2)~(1/2). We also give a parameterized polynomial time algorithm that finds an optimal bijection between an arbitrary unweighted graph metric and a bounded-degree tree metric.
机译:我们开始研究最小失真问题:给定两个n点度量空间作为输入,找到它们之间具有最小失真的双射。这是形状和图像匹配中某些几何问题的抽象,也是图同构和带宽的基本问题的自然变化和扩展。我们的重点是在失真很小的情况下找到最佳(或接近最佳)双射的算法。我们提出了一种多项式时间算法,该算法可以找到两个线度量之间的最佳双射,前提是失真小于3 + 2(2)〜(1/2)。我们还给出了一个参数化多项式时间算法,该算法可在任意未加权图度量与有界度树度量之间找到最佳双射。

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