Global Visual Features based on Random Process - Application to Visual Servoing

Laroussi Hammouda, Khaled Kaaniche, Hassen Mekki, Mohamed Chtourou

2012

Abstract

This paper presents new global visual features: random distribution of limited set of pixels luminance. Our approach aims to improve the real-time performance of visual servoing applications. In fact, using these new features, we reduce the computation time of the visual servoing scheme. Our method is based on a random process which ensures efficient and fast convergence of the robot. The use of our new features removes the matching and tracking process. Experimental results are presented to validate our approach.

Paper Citation

in Harvard Style

Hammouda L., Kaaniche K., Mekki H. and Chtourou M. (2012). Global Visual Features based on Random Process - Application to Visual Servoing . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8565-22-8, pages 105-112. DOI: 10.5220/0004040701050112

in Bibtex Style

@conference{icinco12,
author={Laroussi Hammouda and Khaled Kaaniche and Hassen Mekki and Mohamed Chtourou},
title={Global Visual Features based on Random Process - Application to Visual Servoing},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2012},
pages={105-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004040701050112},
isbn={978-989-8565-22-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Global Visual Features based on Random Process - Application to Visual Servoing
SN - 978-989-8565-22-8
AU - Hammouda L.
AU - Kaaniche K.
AU - Mekki H.
AU - Chtourou M.
PY - 2012
SP - 105
EP - 112
DO - 10.5220/0004040701050112