loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Alexander Gularte ; Camila Thomasi ; Rodrigo de Bem and Diana Adamatti

Affiliation: Universidade Federal do Rio Grande (FURG), Brazil

ISBN: 978-989-8565-48-8

Keyword(s): Performance Evaluation, Local Features Extraction, Mobile Imaging.

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

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. (More)

PDF ImageFull Text

Download
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 3.90.207.89

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:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.