Detection of Symmetry Points in Images

Christoph Dalitz; Regina Pohle-Fröhlich; Tobias Bolten

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Paper

Detection of Symmetry Points in Images

Topics: Object Detection and Localization

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 577-585, 2013 , Barcelona, Spain

Authors: Christoph Dalitz ; Regina Pohle-Fröhlich and Tobias Bolten

Affiliation: Niederrhein University of Applied Sciences, Germany

Keyword(s): Symmetry Detection, Symmetry Transform.

Abstract: This article proposes a new method for detecting symmetry points in images. Like other symmetry detection algorithms, it assigns a “symmetry score” to each image point. Our symmetry measure is only based on scalar products between gradients and is therefore both easy to implement and of low runtime complexity. Moreover, our approach also yields the size of the symmetry region without additional computational effort. As both axial symmetries as well as some rotational symmetries can result in a point symmetry, we propose and evaluate different methods for identifying the rotational symmetries. We evaluate our method on two different test sets of real world images and compare it to several other rotational symmetry detection methods.

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Paper citation in several formats:

Dalitz, C.; Pohle-Fröhlich, R. and Bolten, T. (2013). Detection of Symmetry Points in Images. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 577-585. DOI: 10.5220/0004179405770585

@conference{visapp13,
author={Christoph Dalitz. and Regina Pohle{-}Fröhlich. and Tobias Bolten.},
title={Detection of Symmetry Points in Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={577-585},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004179405770585},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Detection of Symmetry Points in Images
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Dalitz, C.
AU - Pohle-Fröhlich, R.
AU - Bolten, T.
PY - 2013
SP - 577
EP - 585
DO - 10.5220/0004179405770585
PB - SciTePress