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Authors: Mårten Wadenbäck ; Martin Karlsson ; Anders Heyden ; Anders Robertsson and Rolf Johansson

Affiliation: Lund University, Sweden

ISBN: 978-989-758-227-1

Keyword(s): Visual Odometry, Tilted Camera, Trajectory Recovery.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Mobile Imaging ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering ; Stereo Vision and Structure from Motion ; Tracking and Visual Navigation

Abstract: Ego-motion estimation is an important step towards fully autonomous mobile robots. In this paper we propose the use of an initial but automatic camera tilt calibration, which transforms the subsequent motion estimation to a 2D rigid body motion problem. This transformed problem is solved $\ell_2$-optimally using RANSAC and a two-point method for rigid body motion. The method is experimentally evaluated using a camera mounted onto a mobile platform. The results are compared to measurements from a highly accurate external camera positioning system which are used as gold standard. The experiments show promising results on real data.

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Paper citation in several formats:
Wadenbäck, M.; Karlsson, M.; Heyden, A.; Robertsson, A. and Johansson, R. (2017). Visual Odometry from Two Point Correspondences and Initial Automatic Camera Tilt Calibration.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 340-346. DOI: 10.5220/0006079903400346

@conference{visapp17,
author={Mårten Wadenbäck. and Martin Karlsson. and Anders Heyden. and Anders Robertsson. and Rolf Johansson.},
title={Visual Odometry from Two Point Correspondences and Initial Automatic Camera Tilt Calibration},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={340-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006079903400346},
isbn={978-989-758-227-1},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, (VISIGRAPP 2017)
TI - Visual Odometry from Two Point Correspondences and Initial Automatic Camera Tilt Calibration
SN - 978-989-758-227-1
AU - Wadenbäck, M.
AU - Karlsson, M.
AU - Heyden, A.
AU - Robertsson, A.
AU - Johansson, R.
PY - 2017
SP - 340
EP - 346
DO - 10.5220/0006079903400346

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