Detection of Symmetry Points in Images

Christoph Dalitz, Regina Pohle-Fröhlich, Tobias Bolten

2013

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.

Paper Citation

in Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 577-585. DOI: 10.5220/0004179405770585

in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={577-585},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004179405770585},
isbn={978-989-8565-47-1},
}

in EndNote Style

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