Minimum L Hausdorff Distance of Point Sets Under Translation: Generalizing Klee's Measure Problem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a (combinatorial) algorithm with running time close to O(nd) for computing the minimum directed L∞ Hausdorff distance between two sets of n points under translations in any constant dimension d. This substantially improves the best previous time bound near O(n5d/4) by Chew, Dor, Efrat, and Kedem from more than twenty years ago. Our solution is obtained by a new generalization of Chan's algorithm [FOCS'13] for Klee's measure problem. To complement this algorithmic result, we also prove a nearly matching conditional lower bound close to Ω(nd) for combinatorial algorithms, under the Combinatorial k-Clique Hypothesis.

Original languageEnglish (US)
Title of host publication39th International Symposium on Computational Geometry, SoCG 2023
EditorsErin W. Chambers, Joachim Gudmundsson
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959772730
DOIs
StatePublished - Jun 1 2023
Externally publishedYes
Event39th International Symposium on Computational Geometry, SoCG 2023 - Dallas, United States
Duration: Jun 12 2023Jun 15 2023

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume258
ISSN (Print)1868-8969

Conference

Conference39th International Symposium on Computational Geometry, SoCG 2023
Country/TerritoryUnited States
CityDallas
Period6/12/236/15/23

Keywords

  • Hausdorff distance
  • Klee's measure problem
  • fine-grained complexity
  • geometric optimization

ASJC Scopus subject areas

  • Software

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