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Authors: Martin Safko 1 ; 2 ; Luka Lukač 3 ; Borut Žalik 3 and Ivana Kolingerová 2

Affiliations: 1 Faculty of Mathematics and Physics, Charles University, Ke Karlovu 3, 121 16 Praha 2, Czech Republic ; 2 Department of Computer Science and Engineering, University of West Bohemia, Technická 8, 306 14 Plzeň, Czech Republic ; 3 Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, SI-2000 Maribor, Slovenia

Keyword(s): Symmetry, Polygon, Sweeping, Segmentation, Characterization, Computer Graphics.

Abstract: Symmetry is a fundamental property of many objects of interest allowing us to simplify computation or reduce complexity and is also a contributing factor of beauty for a human brain. In this work, we try to identify polylines satisfying the local reflection symmetry of polygons and show how to use them for shape characterization, segmentation or to find global approximate reflection symmetries. We describe an algorithm based on a sweep-line paradigm to efficiently compute the polylines by scanning through a polygon at various angles.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Safko, M.; Lukač, L.; Žalik, B. and Kolingerová, I. (2024). Detection of Local Symmetry Polylines of Polygons Based on Sweeping Paradigm. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 329-336. DOI: 10.5220/0012473400003660

@conference{grapp24,
author={Martin Safko. and Luka Lukač. and Borut Žalik. and Ivana Kolingerová.},
title={Detection of Local Symmetry Polylines of Polygons Based on Sweeping Paradigm},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP},
year={2024},
pages={329-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012473400003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP
TI - Detection of Local Symmetry Polylines of Polygons Based on Sweeping Paradigm
SN - 978-989-758-679-8
IS - 2184-4321
AU - Safko, M.
AU - Lukač, L.
AU - Žalik, B.
AU - Kolingerová, I.
PY - 2024
SP - 329
EP - 336
DO - 10.5220/0012473400003660
PB - SciTePress