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The \emph{Fr\'echet distance} is a well studied similarity measures between curves. The \emph{discrete Fr\'echet distance} is an analogous similarity measure, defined for a sequence $A$ of $m$ points and a sequence $B$ of $n$ points, where…

Computational Geometry · Computer Science 2016-09-09 Rinat Ben Avraham , Omrit Filtser , Haim Kaplan , Matthew J. Katz , Micha Sharir

The article analyzes similarity of closed polygonal curves in Frechet metric, which is stronger than the well-known Hausdorff metric and therefore is more appropriate in some applications. An algorithm that determines whether the Frechet…

Computational Geometry · Computer Science 2014-09-17 M. I. Schlesinger , E. V. Vodolazskiy , V. M. Yakovenko

We study the problem of constructing a data structure that can store a two-dimensional polygonal curve $P$, such that for any query segment $\overline{ab}$ one can efficiently compute the Fr\'{e}chet distance between $P$ and…

Computational Geometry · Computer Science 2022-03-04 Maike Buchin , Ivor van der Hoog , Tim Ophelders , Lena Schlipf , Rodrigo I. Silveira , Frank Staals

Let $P$ be a polygon with $k$ vertices. Let $R$ and $B$ be two simple, interior disjoint curves on the boundary of $P$, with $n$ and $m$ vertices. We show how to compute the Fr\'echet distance between $R$ and $B$ using the geodesic…

Computational Geometry · Computer Science 2025-04-21 Thijs van der Horst , Marc van Kreveld , Tim Ophelders , Bettina Speckmann

We study several polygonal curve problems under the Fr\'{e}chet distance via algebraic geometric methods. Let $\mathbb{X}_m^d$ and $\mathbb{X}_k^d$ be the spaces of all polygonal curves of $m$ and $k$ vertices in $\mathbb{R}^d$,…

Computational Geometry · Computer Science 2023-10-24 Siu-Wing Cheng , Haoqiang Huang

We study the $c$-approximate near neighbor problem under the continuous Fr\'echet distance: Given a set of $n$ polygonal curves with $m$ vertices, a radius $\delta > 0$, and a parameter $k \leq m$, we want to preprocess the curves into a…

Computational Geometry · Computer Science 2021-11-05 Karl Bringmann , Anne Driemel , André Nusser , Ioannis Psarros

We propose sublinear algorithms for probabilistic testing of the discrete and continuous Fr\'echet distance - a standard similarity measure for curves. We assume the algorithm is given access to the input curves via a query oracle: a query…

Computational Geometry · Computer Science 2025-09-05 Peyman Afshani , Maike Buchin , Anne Driemel , Marena Richter , Sampson Wong

We give algorithms to compute the Fr\'echet distance of trees and graphs with bounded tree width. Our algorithms run in $O(n^2)$ time for trees of bounded degree, and $O(n^2\sqrt{n \log n})$ time for trees of arbitrary degree. For graphs of…

Computational Geometry · Computer Science 2020-01-29 Maike Buchin , Amer Krivošija , Alexander Neuhaus

The Fr\'{e}chet distance is a well studied and commonly used measure to capture the similarity of polygonal curves. Unfortunately, it exhibits a high sensitivity to the presence of outliers. Since the presence of outliers is a frequently…

Computational Geometry · Computer Science 2013-04-24 Jean-Lou De Carufel , Amin Gheibi , Anil Maheshwari , Jörg-Rüdiger Sack , Christian Scheffer

We introduce a new distance measure for comparing polygonal chains: the $k$-Fr\'echet distance. As the name implies, it is closely related to the well-studied Fr\'echet distance but detects similarities between curves that resemble each…

Computational Geometry · Computer Science 2019-03-07 Hugo A Akitaya , Maike Buchin , Leonie Ryvkin , Jérôme Urhausen

It is unlikely that the discrete Fr\'echet distance between two curves of length $n$ can be computed in strictly subquadratic time. We thus consider the setting where one of the curves, $P$, is known in advance. In particular, we wish to…

Computational Geometry · Computer Science 2024-04-08 Boris Aronov , Tsuri Farhana , Matthew J. Katz , Indu Ramesh

One approach to studying the Fr\'echet distance is to consider curves that satisfy realistic assumptions. By now, the most popular realistic assumption for curves is $c$-packedness. Existing algorithms for computing the Fr\'echet distance…

Computational Geometry · Computer Science 2024-11-08 Joachim Gudmundsson , Tiancheng Mai , Sampson Wong

The Fr\'{e}chet distance is a popular distance measure between curves $P$ and $Q$. Conditional lower bounds prohibit $(1 + \varepsilon)$-approximate Fr\'{e}chet distance computations in strongly subquadratic time, even when preprocessing…

Computational Geometry · Computer Science 2024-09-27 Ivor van der Hoog , Eva Rotenberg , Sampson Wong

In this paper we study a wide range of variants for computing the (discrete and continuous) Fr\'echet distance between uncertain curves. We define an uncertain curve as a sequence of uncertainty regions, where each region is a disk, a line…

Computational Geometry · Computer Science 2023-07-18 Kevin Buchin , Chenglin Fan , Maarten Löffler , Aleksandr Popov , Benjamin Raichel , Marcel Roeloffzen

We introduce the discrete Fr\'echet gap and its variants as an alternative measure of similarity between polygonal curves. We believe that for some applications the new measure (and its variants) may better reflect our intuitive notion of…

Computational Geometry · Computer Science 2015-06-17 Omrit Filtser , Matthew J. Katz

The Fr\'echet distance is a distance measure between trajectories in $\Bbb{R}^d$ or walks in a graph $G$. Given constant-time shortest path queries, the Discrete Fr\'echet distance $D_G(P, Q)$ between two walks $P$ and $Q$ can be computed…

Computational Geometry · Computer Science 2025-07-08 Ivor van der Hoog , Thijs van der Horst , Eva Rotenberg , Lasse Wulf

The classical and extensively-studied Fr\'echet distance between two curves is defined as an inf max, where the infimum is over all traversals of the curves, and the maximum is over all concurrent positions of the two agents. In this…

Computational Geometry · Computer Science 2022-09-22 Omrit Filtser , Mayank Goswami , Joseph S. B. Mitchell , Valentin Polishchuk

The Dynamic Time Warping (DTW) distance is a popular similarity measure for polygonal curves (i.e., sequences of points). It finds many theoretical and practical applications, especially for temporal data, and is known to be a robust,…

Computational Geometry · Computer Science 2023-11-14 Karl Bringmann , Nick Fischer , Ivor van der Hoog , Evangelos Kipouridis , Tomasz Kociumaka , Eva Rotenberg

In the first part of this thesis, we consider an instance of Frechet distance problem in which the speed of traversal along each segment of the curves is restricted to be within a specfied range. This setting is more realistic than the…

Computational Geometry · Computer Science 2013-07-26 Kaveh Shahbaz

The Frechet distance is a metric to compare two curves, which is based on monotonous matchings between these curves. We call a matching that results in the Frechet distance a Frechet matching. There are often many different Frechet…

Computational Geometry · Computer Science 2012-06-28 Kevin Buchin , Maike Buchin , Wouter Meulemans , Bettina Speckmann