License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.SoCG.2023.24
URN: urn:nbn:de:0030-drops-178741
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/17874/
Chan, Timothy M.
Minimum L_∞ Hausdorff Distance of Point Sets Under Translation: Generalizing Klee’s Measure Problem
Abstract
We present a (combinatorial) algorithm with running time close to O(n^d) 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(n^{5d/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(n^d) for combinatorial algorithms, under the Combinatorial k-Clique Hypothesis.
BibTeX - Entry
@InProceedings{chan:LIPIcs.SoCG.2023.24,
author = {Chan, Timothy M.},
title = {{Minimum L\underline∞ Hausdorff Distance of Point Sets Under Translation: Generalizing Klee’s Measure Problem}},
booktitle = {39th International Symposium on Computational Geometry (SoCG 2023)},
pages = {24:1--24:13},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-273-0},
ISSN = {1868-8969},
year = {2023},
volume = {258},
editor = {Chambers, Erin W. and Gudmundsson, Joachim},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/17874},
URN = {urn:nbn:de:0030-drops-178741},
doi = {10.4230/LIPIcs.SoCG.2023.24},
annote = {Keywords: Hausdorff distance, geometric optimization, Klee’s measure problem, fine-grained complexity}
}
Keywords: |
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Hausdorff distance, geometric optimization, Klee’s measure problem, fine-grained complexity |
Collection: |
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39th International Symposium on Computational Geometry (SoCG 2023) |
Issue Date: |
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2023 |
Date of publication: |
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09.06.2023 |