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.ICALP.2021.10
URN: urn:nbn:de:0030-drops-140790
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14079/
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Agarwal, Pankaj K. ; Steiger, Alex

An Output-Sensitive Algorithm for Computing the Union of Cubes and Fat Boxes in 3D

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LIPIcs-ICALP-2021-10.pdf (1 MB)


Abstract

Let C be a set of n axis-aligned cubes of arbitrary sizes in ℝ³. Let U be their union, and let κ be the number of vertices on ∂U; κ can vary between O(1) and O(n²). We show that U can be computed in O(n log³ n + κ) time if C is in general position. The algorithm also computes the union of a set of fat boxes (i.e., boxes with bounded aspect ratio) within the same time bound. If the cubes in C are congruent or have bounded depth, the running time improves to O(n log² n), and if both conditions hold, the running time improves to O(n log n).

BibTeX - Entry

@InProceedings{agarwal_et_al:LIPIcs.ICALP.2021.10,
  author =	{Agarwal, Pankaj K. and Steiger, Alex},
  title =	{{An Output-Sensitive Algorithm for Computing the Union of Cubes and Fat Boxes in 3D}},
  booktitle =	{48th International Colloquium on Automata, Languages, and Programming (ICALP 2021)},
  pages =	{10:1--10:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-195-5},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{198},
  editor =	{Bansal, Nikhil and Merelli, Emanuela and Worrell, James},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14079},
  URN =		{urn:nbn:de:0030-drops-140790},
  doi =		{10.4230/LIPIcs.ICALP.2021.10},
  annote =	{Keywords: union of cubes, fat boxes, plane-sweep}
}

Keywords: union of cubes, fat boxes, plane-sweep
Collection: 48th International Colloquium on Automata, Languages, and Programming (ICALP 2021)
Issue Date: 2021
Date of publication: 02.07.2021


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