Shortest Paths in Portalgons

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Any surface that is intrinsically polyhedral can be represented by a collection of simple polygons (fragments), glued along pairs of equally long oriented edges, where each fragment is endowed with the geodesic metric arising from its Euclidean metric. We refer to such a representation as a portalgon, and we call two portalgons equivalent if the surfaces they represent are isometric.
We analyze the complexity of shortest paths. We call a fragment happy if any shortest path on the portalgon visits it at most a constant number of times. A portalgon is happy if all of its fragments are happy. We present an efficient algorithm to compute shortest paths on happy portalgons.
The number of times that a shortest path visits a fragment is unbounded in general. We contrast this by showing that the intrinsic Delaunay triangulation of any polyhedral surface corresponds to a happy portalgon. Since computing the intrinsic Delaunay triangulation may be inefficient, we provide an efficient algorithm to compute happy portalgons for a restricted class of portalgons.
Original languageEnglish
Title of host publication39th International Symposium on Computational Geometry, SoCG 2023
EditorsErin W. Chambers, Joachim Gudmundsson
PublisherDagstuhl Publishing
ISBN (Electronic)9783959772730
DOIs
Publication statusPublished - 1 Jun 2023

Publication series

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

Keywords

  • Delaunay triangulation
  • Polyhedral surfaces
  • geodesic distance
  • shortest paths

Fingerprint

Dive into the research topics of 'Shortest Paths in Portalgons'. Together they form a unique fingerprint.

Cite this