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Authors: Emanuele Frontoni and Primo Zingaretti

Affiliation: Universita’ Politecnica delle Marche, Italy

Abstract: The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot vision, object recognition, motion estimation, etc. Still, the parameter settings are not fully investigated, especially when dealing with variable lighting conditions. In this work, we propose a SIFT improvement that allows feature extraction and matching between images taken under different illumination. Also an interesting approach to reduce the SIFT computational time is presented. Finally, results of robot vision based localization experiments using the proposed approach are presented.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Frontoni, E. and Zingaretti, P. (2007). Adaptive and Fast Scale Invariant Feature Extraction. In Robot Vision (VISAPP 2007) - Robot Vision; ISBN 978-972-8865-76-4, SciTePress, pages 117-125. DOI: 10.5220/0002066801170125

@conference{robot vision07,
author={Emanuele Frontoni. and Primo Zingaretti.},
title={Adaptive and Fast Scale Invariant Feature Extraction},
booktitle={Robot Vision (VISAPP 2007) - Robot Vision},
year={2007},
pages={117-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002066801170125},
isbn={978-972-8865-76-4},
}

TY - CONF

JO - Robot Vision (VISAPP 2007) - Robot Vision
TI - Adaptive and Fast Scale Invariant Feature Extraction
SN - 978-972-8865-76-4
AU - Frontoni, E.
AU - Zingaretti, P.
PY - 2007
SP - 117
EP - 125
DO - 10.5220/0002066801170125
PB - SciTePress