loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Arnau Ramisa 1 ; Ramón López de Mántaras 1 ; David Aldavert 2 and Ricardo Toledo 2

Affiliations: 1 Artificial Intelligence Research Institute, Spain ; 2 Computer Vision Center, Spain

Keyword(s): Affine covariant regions, local descriptors, interest points, matching, robot navigation, panoramic images.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Mobile Robots and Autonomous Systems ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: Invariant (or covariant) image feature region detectors and descriptors are useful in visual robot navigation because they provide a fast and reliable way to extract relevant and discriminative information from an image and, at the same time, avoid the problems of changes in illumination or in point of view. Furthermore, complementary types of image features can be used simultaneously to extract even more information. However, this advantage always entails the cost of more processing time and sometimes, if not used wisely, the performance can be even worse. In this paper we present the results of a comparison between various combinations of region detectors and descriptors. The test performed consists in computing the essential matrix between panoramic images using correspondences established with these methods. Different combinations of region detectors and descriptors are evaluated and validated using ground truth data. The results will help us to find the best combination to use i t in an autonomous robot navigation system. (More)

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 3.238.62.124

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:
Ramisa, A.; López de Mántaras, R.; Aldavert, D. and Toledo, R. (2007). COMPARING COMBINATIONS OF FEATURE REGIONS FOR PANORAMIC VSLAM. In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO; ISBN 978-972-8865-83-2; ISSN 2184-2809, SciTePress, pages 292-297. DOI: 10.5220/0001642602920297

@conference{icinco07,
author={Arnau Ramisa. and Ramón {López de Mántaras}. and David Aldavert. and Ricardo Toledo.},
title={COMPARING COMBINATIONS OF FEATURE REGIONS FOR PANORAMIC VSLAM},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO},
year={2007},
pages={292-297},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001642602920297},
isbn={978-972-8865-83-2},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO
TI - COMPARING COMBINATIONS OF FEATURE REGIONS FOR PANORAMIC VSLAM
SN - 978-972-8865-83-2
IS - 2184-2809
AU - Ramisa, A.
AU - López de Mántaras, R.
AU - Aldavert, D.
AU - Toledo, R.
PY - 2007
SP - 292
EP - 297
DO - 10.5220/0001642602920297
PB - SciTePress