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Authors: Inge Coudron and Toon Goedemé

Affiliation: KU Leuven, Belgium

Keyword(s): Extrinsic Calibration, Multi-sensor, Object Detection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Registration

Abstract: The use of time-of-flight (ToF) cameras in industrial applications has become increasingly popular due to the camera’s reduced cost and its ability to provide real-time depth information. Still, one of the main drawbacks of these cameras has been their limited field of view. We therefore propose a technique to fuse the views of multiple ToF cameras. By mounting two cameras side by side and pointing them away from each other, the horizontal field of view can be artificially extended. The combined views can then be used for object detection. The main advantages of our technique is that the calibration is fully automatic and only one shot of the calibration target is needed. Furthermore, no overlap between the views is required.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Coudron, I. and Goedemé, T. (2017). Multi-view ToF Fusion for Object Detection in Industrial Applications. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 203-207. DOI: 10.5220/0006136802030207

@conference{visapp17,
author={Inge Coudron. and Toon Goedemé.},
title={Multi-view ToF Fusion for Object Detection in Industrial Applications},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP},
year={2017},
pages={203-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006136802030207},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP
TI - Multi-view ToF Fusion for Object Detection in Industrial Applications
SN - 978-989-758-225-7
IS - 2184-4321
AU - Coudron, I.
AU - Goedemé, T.
PY - 2017
SP - 203
EP - 207
DO - 10.5220/0006136802030207
PB - SciTePress