loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

Affiliation: University of Reims Champagne Ardenne, France

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.198.34.207

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={467-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003864604670474},
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 - A COMPREHENSIVE AND COMPARATIVE SURVEY OF THE SIFT ALGORITHM - Feature Detection, Description, and Characterization
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Younes, L.
AU - Romaniuk, B.
AU - Bittar, E.
PY - 2012
SP - 467
EP - 474
DO - 10.5220/0003864604670474
PB - SciTePress