Performance Evaluation of BRISK Algorithm on Mobile Devices

Alexander Gularte, Camila Thomasi, Rodrigo de Bem, Diana Adamatti

2013

Abstract

The great number of researches about local features extraction algorithms in the last years, allied to the popularization of mobile devices, makes desirable efficient and accurate algorithms suitable to run on such devices. Despite this, there are few approaches adequate to run efficiently on the complexity-, cost- and power-constrained mobile environments. The main objective of this work is to evaluate the performance of the recently proposed BRISK algorithm on mobile devices. In this way, a mobile implementation, named M-BRISK, is proposed. Some implementation strategies are considered and successful applied to execute the algorithm in a real-world mobile device. As evaluation criterion repeatability, recall, precision and running time metrics are used, as well as the comparison with the classical well established algorithm SURF and also with the more recently proposed ORB. The results confirm that proposed mobile implementation of BRISK (M-BRISK) performs well and it is adequate to mobile devices.

Paper Citation

in Harvard Style

Gularte A., Thomasi C., de Bem R. and Adamatti D. (2013). Performance Evaluation of BRISK Algorithm on Mobile Devices . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 5-11. DOI: 10.5220/0004288400050011

in Bibtex Style

@conference{visapp13,
author={Alexander Gularte and Camila Thomasi and Rodrigo de Bem and Diana Adamatti},
title={Performance Evaluation of BRISK Algorithm on Mobile Devices},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={5-11},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004288400050011},
isbn={978-989-8565-48-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Performance Evaluation of BRISK Algorithm on Mobile Devices
SN - 978-989-8565-48-8
AU - Gularte A.
AU - Thomasi C.
AU - de Bem R.
AU - Adamatti D.
PY - 2013
SP - 5
EP - 11
DO - 10.5220/0004288400050011