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Authors: Johann Thor Mogensen Ingibergsson 1 ; Dirk Kraft 2 and Ulrik Pagh Schultz 2

Affiliations: 1 CLAAS E-Systems and University of Southern Denmark, Denmark ; 2 University of Southern Denmark, Denmark

ISBN: 978-989-758-227-1

Keyword(s): Safety, Functional Safety, Image Quality Assessment, Low-level Vision.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: Computer vision has applications in a wide range of areas from surveillance to safety-critical control of autonomous robots. Despite the potentially critical nature of the applications and a continuous progress, the focus on safety in relation to compliance with standards has been limited. As an example, field robots are typically dependent on a reliable perception system to sense and react to a highly dynamic environment. The perception system thus introduces significant complexity into the safety-critical path of the robotic system. This complexity is often argued to increase safety by improving performance; however, the safety claims are not supported by compliance with any standards. In this paper, we present rules that enable low-level detection of quality problems in images and demonstrate their applicability on an agricultural image database. We hypothesise that low-level and primitive image analysis driven by explicit rules facilitates complying with safety standards, which im proves the real-world applicability of existing proposed solutions. The rules are simple independent image analysis operations focused on determining the quality and usability of an image. (More)

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Paper citation in several formats:
Ingibergsson, J.; Kraft, D. and Pagh Schultz , U. (2017). Explicit Image Quality Detection Rules for Functional Safety in Computer Vision.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 433-444. DOI: 10.5220/0006125604330444

@conference{visapp17,
author={Johann Thor Mogensen Ingibergsson. and Dirk Kraft. and Ulrik Pagh Schultz .},
title={Explicit Image Quality Detection Rules for Functional Safety in Computer Vision},
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={433-444},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006125604330444},
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 - Explicit Image Quality Detection Rules for Functional Safety in Computer Vision
SN - 978-989-758-227-1
AU - Ingibergsson, J.
AU - Kraft, D.
AU - Pagh Schultz , U.
PY - 2017
SP - 433
EP - 444
DO - 10.5220/0006125604330444

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