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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.2023.13
URN: urn:nbn:de:0030-drops-178637
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/17863/
Bærentzen, J. Andreas ;
Christensen, Rasmus Emil ;
Gæde, Emil Toftegaard ;
Rotenberg, Eva
Multilevel Skeletonization Using Local Separators
Abstract
In this paper we give a new, efficient algorithm for computing curve skeletons, based on local separators. Our efficiency stems from a multilevel approach, where we solve small problems across levels of detail and combine these in order to quickly obtain a skeleton. We do this in a highly modular fashion, ensuring complete flexibility in adapting the algorithm for specific types of input or for otherwise targeting specific applications.
Separator based skeletonization was first proposed by Bærentzen and Rotenberg in [ACM Tran. Graphics'21], showing high quality output at the cost of running times which become prohibitive for large inputs. Our new approach retains the high quality output, and applicability to any spatially embedded graph, while being orders of magnitude faster for all practical purposes.
We test our skeletonization algorithm for efficiency and quality in practice, comparing it to local separator skeletonization on the University of Groningen Skeletonization Benchmark [Telea'16].
BibTeX - Entry
@InProceedings{baerentzen_et_al:LIPIcs.SoCG.2023.13,
author = {B{\ae}rentzen, J. Andreas and Christensen, Rasmus Emil and G{\ae}de, Emil Toftegaard and Rotenberg, Eva},
title = {{Multilevel Skeletonization Using Local Separators}},
booktitle = {39th International Symposium on Computational Geometry (SoCG 2023)},
pages = {13:1--13:18},
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/2023/17863},
URN = {urn:nbn:de:0030-drops-178637},
doi = {10.4230/LIPIcs.SoCG.2023.13},
annote = {Keywords: Algorithm engineering, experimentation and implementation, shape skeletonization, curve skeletons, multilevel algorithm}
}
