CORE: A COnfusion REduction Algorithm for Keypoints Filtering

Emilien Royer, Thibault Lelore, Frédéric Bouchara

2015

Abstract

In computer vision, extracting keypoints and computing associated features is the first step for many applications such as object recognition, image indexation, super-resolution or stereo-vision. In many cases, in order to achieve good results, pre or post-processing are almost mandatory steps. In this paper, we propose a generic pre-filtering method for floating point based descriptors which address the confusion problem due to repetitive patterns. We sort keypoints by their unicity without taking into account any visual element but the feature vectors’s statistical properties thanks to a kernel density estimation approach. Even if highly reduced in number, results show that keypoints subsets extracted are still relevant and our algorithm can be combined with classical post-processing methods.

Paper Citation

in Harvard Style

Royer E., Lelore T. and Bouchara F. (2015). CORE: A COnfusion REduction Algorithm for Keypoints Filtering . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 561-568. DOI: 10.5220/0005309405610568

in Bibtex Style

@conference{visapp15,
author={Emilien Royer and Thibault Lelore and Frédéric Bouchara},
title={CORE: A COnfusion REduction Algorithm for Keypoints Filtering},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={561-568},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005309405610568},
isbn={978-989-758-089-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - CORE: A COnfusion REduction Algorithm for Keypoints Filtering
SN - 978-989-758-089-5
AU - Royer E.
AU - Lelore T.
AU - Bouchara F.
PY - 2015
SP - 561
EP - 568
DO - 10.5220/0005309405610568