Algorithms for computing closest points for segments

Given a set P of n points and a set S of n segments in the plane, we consider the problem of computing for each segment of S its closest point in P . The previously best algorithm solves the problem in n 4 / 3 2 O ( log ⁎ ⁡ n ) time [Bespamyatnikh, 2003] and a lower bound (under a somewhat restricted model) Ω ( n 4 / 3 ) has also been proved. In this paper, we present an O ( n 4 / 3 ) time algorithm, which matches the above lower bound. In addition, we also present data structures for solving the online version of the problem, i.e., given a query segment (or a line as a special case), find its closest point in P . Our new results improve the previous work.

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Publication Details

Journal
Computational Geometry
Published
2025-04-17
DOI
https://doi.org/10.1016/j.comgeo.2025.102196
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00

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article

Algorithms for computing closest points for segments

Haitao Wang
Computational Geometry
Computational Geometry and Mesh Generation
article

Algorithms for computing closest points for segments

Haitao Wang
article en

Abstract

Given a set P of n points and a set S of n segments in the plane, we consider the problem of computing for each segment of S its closest point in P . The previously best algorithm solves the problem in n 4 / 3 2 O ( log ⁎ ⁡ n ) time [Bespamyatnikh, 2003] and a lower bound (under a somewhat restricted model) Ω ( n 4 / 3 ) has also been proved. In this paper, we present an O ( n 4 / 3 ) time algorithm, which matches the above lower bound. In addition, we also present data structures for solving the online version of the problem, i.e., given a query segment (or a line as a special case), find its closest point in P . Our new results improve the previous work.

Computational GeometryVol. 130
University of Utah (US)
National Science Foundation
Openalex Percentile: Top 86%
Computational Geometry and Mesh Generation
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