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Static and Streaming Data Structures for Fréchet Distance Queries

Arnold Filtser, Omrit Filtser

2021Year
2Citations
2Top-tier citations

Abstract

Given a curve P with points in R d in a streaming fashion, and parameters ε > 0 and k, we construct a distance oracle that uses O( 1 ε ) kd log ε -1 space, and given a query curve Q with k points in R d , returns in Õ(kd) time a 1 + ε approximation of the discrete Fréchet distance between Q and P .

In addition, we construct simplifications in the streaming model, oracle for distance queries to a sub-curve (in the static setting), and introduce the zoom-in problem. Our algorithms work in any dimension d, and therefore we generalize some useful tools and algorithms for curves under the discrete Fréchet distance to work efficiently in high dimensions.

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