PUTATIVE MATCH ANALYSIS - A Repeatable Alternative to RANSAC for Matching of Aerial Images

Anders Hast, Andrea Marchetti

2012

Abstract

One disadvantage with RANSAC is that it is based on randomness and will therefore often yield a different set of inliers in each run, especially if the dataset contains a large number of outliers. A repeatable algorithm for finding both matches and the homography is proposed that will yield the same set of matches every time and is therefore a useful tool when trying to evaluate other algorithms involved and their parameters.

Paper Citation

in Harvard Style

Hast A. and Marchetti A. (2012). PUTATIVE MATCH ANALYSIS - A Repeatable Alternative to RANSAC for Matching of Aerial Images . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 341-344. DOI: 10.5220/0003802603410344

in Bibtex Style

@conference{visapp12,
author={Anders Hast and Andrea Marchetti},
title={PUTATIVE MATCH ANALYSIS - A Repeatable Alternative to RANSAC for Matching of Aerial Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={341-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003802603410344},
isbn={978-989-8565-04-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - PUTATIVE MATCH ANALYSIS - A Repeatable Alternative to RANSAC for Matching of Aerial Images
SN - 978-989-8565-04-4
AU - Hast A.
AU - Marchetti A.
PY - 2012
SP - 341
EP - 344
DO - 10.5220/0003802603410344