A GREAT CIRCLE ARC DETECTOR IN EQUIRECTANGULAR IMAGES

Seon Ho Oh, Soon Ki Jung

2012

Abstract

We propose a great circle arc detector in a scene represented by an equirectangular image, i.e. a spherical image of the 360º longitude and 180º latitude field of view. Since the straight lines appears curved in equirectangular images, the standard line detection algorithm cannot be used directly in this context. We extend the LSD method (Gioi et al., 2010) to deal with the equirectangular images instead of planar images. So the proposed method has most of the advantages of the LSD method, which gives accurate results with a controlled number of false detections but requires no parameter tuning. This algorithm is tested and compared to other algorithm on a wide set of images.

Paper Citation

in Harvard Style

Ho Oh S. and Ki Jung S. (2012). A GREAT CIRCLE ARC DETECTOR IN EQUIRECTANGULAR IMAGES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 346-351. DOI: 10.5220/0003856303460351

in Bibtex Style

@conference{visapp12,
author={Seon Ho Oh and Soon Ki Jung},
title={A GREAT CIRCLE ARC DETECTOR IN EQUIRECTANGULAR IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={346-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003856303460351},
isbn={978-989-8565-03-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - A GREAT CIRCLE ARC DETECTOR IN EQUIRECTANGULAR IMAGES
SN - 978-989-8565-03-7
AU - Ho Oh S.
AU - Ki Jung S.
PY - 2012
SP - 346
EP - 351
DO - 10.5220/0003856303460351