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.2023.45
URN: urn:nbn:de:0030-drops-178953
URL: https://drops.dagstuhl.de/opus/volltexte/2023/17895/
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Kerber, Michael ; Söls, Matthias

The Localized Union-Of-Balls Bifiltration

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LIPIcs-SoCG-2023-45.pdf (0.8 MB)


Abstract

We propose an extension of the classical union-of-balls filtration of persistent homology: fixing a point q, we focus our attention to a ball centered at q whose radius is controlled by a second scale parameter. We discuss an absolute variant, where the union is just restricted to the q-ball, and a relative variant where the homology of the q-ball relative to its boundary is considered. Interestingly, these natural constructions lead to bifiltered simplicial complexes which are not k-critical for any finite k. Nevertheless, we demonstrate that these bifiltrations can be computed exactly and efficiently, and we provide a prototypical implementation using the CGAL library. We also argue that some of the recent algorithmic advances for 2-parameter persistence (which usually assume k-criticality for some finite k) carry over to the ∞-critical case.

BibTeX - Entry

@InProceedings{kerber_et_al:LIPIcs.SoCG.2023.45,
  author =	{Kerber, Michael and S\"{o}ls, Matthias},
  title =	{{The Localized Union-Of-Balls Bifiltration}},
  booktitle =	{39th International Symposium on Computational Geometry (SoCG 2023)},
  pages =	{45:1--45:19},
  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/2023/17895},
  URN =		{urn:nbn:de:0030-drops-178953},
  doi =		{10.4230/LIPIcs.SoCG.2023.45},
  annote =	{Keywords: Topological Data Analysis, Multi-Parameter Persistence, Persistent Local Homology}
}

Keywords: Topological Data Analysis, Multi-Parameter Persistence, Persistent Local Homology
Collection: 39th International Symposium on Computational Geometry (SoCG 2023)
Issue Date: 2023
Date of publication: 09.06.2023
Supplementary Material: A prototypical implementation can be found here: https://bitbucket.org/mkerber/demo_absolute_2d/src/master/.


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