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Authors: L. Younes ; B. Romaniuk and E. Bittar

Affiliation: University of Reims Champagne Ardenne, France

ISBN: 978-989-8565-03-7

Keyword(s): SIFT, Computer Vision, Feature Points, Descriptors, Comparison.

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

Abstract: The SIFT feature extractor was introduced by Lowe in 1999. This algorithm provides invariant features and the corresponding local descriptors. The descriptors are then used in the image matching process. We propose an overview of this algorithm: the methodology and the tricky steps of its implementation, properties of the detector and descriptor. We analyze the structure of detected features. We finally compare our implementation to others, including Lowe’s.

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Paper citation in several formats:
Younes, L.; Romaniuk, B. and Bittar, E. (2012). A COMPREHENSIVE AND COMPARATIVE SURVEY OF THE SIFT ALGORITHM - Feature Detection, Description, and Characterization.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 467-474. DOI: 10.5220/0003864604670474

@conference{visapp12,
author={L. Younes. and B. Romaniuk. and E. Bittar.},
title={A COMPREHENSIVE AND COMPARATIVE SURVEY OF THE SIFT ALGORITHM - Feature Detection, Description, and Characterization},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={467-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003864604670474},
isbn={978-989-8565-03-7},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - A COMPREHENSIVE AND COMPARATIVE SURVEY OF THE SIFT ALGORITHM - Feature Detection, Description, and Characterization
SN - 978-989-8565-03-7
AU - Younes, L.
AU - Romaniuk, B.
AU - Bittar, E.
PY - 2012
SP - 467
EP - 474
DO - 10.5220/0003864604670474

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