A Dense Map Building Approach from Spherical RGBD Images

Tawsif Gokhool, Maxime Meilland, Patrick Rives, Eduardo Fernández-Moral

2014

Abstract

Visual mapping is a required capability for practical autonomous mobile robots where there exists a growing industry with applications ranging from the service to industrial sectors. Prior to map building, Visual Odometry(VO) is an essential step required in the process of pose graph construction. In this work, we first propose to tackle the pose estimation problem by using both photometric and geometric information in a direct RGBD image registration method. Secondly, the mapping problem is tackled with a pose graph representation, whereby, given a database of augmented visual spheres, a travelled trajectory with redundant information is pruned out to a skeletal pose graph. Both methods are evaluated with data acquired with a recently proposed omnidirectional RGBD sensor for indoor environments.

Paper Citation

in Harvard Style

Gokhool T., Meilland M., Rives P. and Fernández-Moral E. (2014). A Dense Map Building Approach from Spherical RGBD Images . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 656-663. DOI: 10.5220/0004745406560663

in Bibtex Style

@conference{visapp14,
author={Tawsif Gokhool and Maxime Meilland and Patrick Rives and Eduardo Fernández-Moral},
title={A Dense Map Building Approach from Spherical RGBD Images},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={656-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004745406560663},
isbn={978-989-758-009-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - A Dense Map Building Approach from Spherical RGBD Images
SN - 978-989-758-009-3
AU - Gokhool T.
AU - Meilland M.
AU - Rives P.
AU - Fernández-Moral E.
PY - 2014
SP - 656
EP - 663
DO - 10.5220/0004745406560663