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Authors: Arhum Sultana and Michael Jenkin

Affiliation: Electrical Engineering and Computer Science, York University, Canada

Keyword(s): Camera Calibration in the Wild, Stereo Video Processing.

Abstract: Although a number of robust stereo camera calibration algorithms exist in the literature, a common assumption of these algorithms is a representative set of calibration images containing a planar calibration target of known geometry. For stereo-video applications, it is a common practice to obtain a large number of stereo image pairs for the stereo calibration process. How should an optimal set of stereo-video calibration images be chosen when controlled camera positioning is difficult or impossible? Here we demonstrate how a greedy RANdom SAmple Consensus (RanSaC)-based approach can be used to choose the appropriate calibration image set for improved stereo camera calibration. This paper describes the performance of a greedy, RanSaC approach which is compared against a random frames selection approach. Performance is measured through mean calibration reprojection error. Evaluation on real world stereo video calibration data-sets collected in the underwater environment illustrates th e effectiveness of the proposed approach. (More)

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Paper citation in several formats:
Sultana, A. and Jenkin, M. (2023). Stereo Video Camera Calibration in the Wild. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-670-5; ISSN 2184-2809, SciTePress, pages 64-69. DOI: 10.5220/0012191700003543

@conference{icinco23,
author={Arhum Sultana. and Michael Jenkin.},
title={Stereo Video Camera Calibration in the Wild},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2023},
pages={64-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012191700003543},
isbn={978-989-758-670-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Stereo Video Camera Calibration in the Wild
SN - 978-989-758-670-5
IS - 2184-2809
AU - Sultana, A.
AU - Jenkin, M.
PY - 2023
SP - 64
EP - 69
DO - 10.5220/0012191700003543
PB - SciTePress

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