FEATURE-DRIVEN MAXIMALLY STABLE EXTREMAL REGIONS

P. Martins; C. Gatta; P. Carvalho

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Paper

FEATURE-DRIVEN MAXIMALLY STABLE EXTREMAL REGIONS

Topics: Features Extraction

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 490-497, 2012 , Rome, Italy

Authors: P. Martins ¹ ; C. Gatta ² and P. Carvalho ¹

Affiliations: ¹ University of Coimbra, Portugal ; ² Autonomous University of Barcelona and University of Barcelona, Spain

Keyword(s): Local Feature Detection, Maximally Stable Extremal Regions, Completeness.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: The high repeatability of Maximally Stable Extremal Regions (MSERs) on structured images along with their suitability to be combined with either photometric or shape descriptors to solve image matching problems have contributed to establish the MSER detector as one of the most prominent affine covariant detectors. However, the so-called affine covariance that characterizes MSERs relies on the assumption that objects possess smooth boundaries, a premiss that is not always valid. We introduce an alternative domain for MSER detection in which boundary-related features are highlighted and simultaneously delineated under smooth transitions. Detection results on common benchmarks show improvements that are discussed.

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Paper citation in several formats:

Martins, P.; Gatta, C. and Carvalho, P. (2012). FEATURE-DRIVEN MAXIMALLY STABLE EXTREMAL REGIONS. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 490-497. DOI: 10.5220/0003869204900497

@conference{visapp12,
author={P. Martins. and C. Gatta. and P. Carvalho.},
title={FEATURE-DRIVEN MAXIMALLY STABLE EXTREMAL REGIONS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={490-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003869204900497},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - FEATURE-DRIVEN MAXIMALLY STABLE EXTREMAL REGIONS
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Martins, P.
AU - Gatta, C.
AU - Carvalho, P.
PY - 2012
SP - 490
EP - 497
DO - 10.5220/0003869204900497
PB - SciTePress