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Authors: Ghani O. Lawal and Michael Greenspan

Affiliation: Dept. Electrical and Computer Engineering, Ingenuity Labs, Queen’s University, Kingston, Ontario, Canada

Keyword(s): Procam, Calibration, Optimization, Stereovision, Homography.

Abstract: A novel user friendly method is proposed for calibrating a procam system from a single pose of a planar chessboard target. The user simply needs to orient the chessboard in a single appropriate pose. A sequence of Gray Code patterns are projected onto the chessboard, which allows correspondences between the camera, projector and chessboard to be automatically extracted. These correspondences are fed as input to a nonlinear optimization method that models the projection of the principle points onto the chessboard, and accurately calculates the intrinsic and extrinsic parameters of both the camera and the project, as well as the camera’s distortion coefficients. The method is experimentally validated on a real procam system, which is shown to be comparable in accuracy with existing multi-pose approaches. The impact of the orientation of the chessboard with respect to the procam imaging places is also explored through extensive simulations.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Lawal, G. and Greenspan, M. (2021). Procam Calibration from a Single Pose of a Planar Target. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 817-827. DOI: 10.5220/0010327708170827

@conference{visapp21,
author={Ghani O. Lawal. and Michael Greenspan.},
title={Procam Calibration from a Single Pose of a Planar Target},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP},
year={2021},
pages={817-827},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010327708170827},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP
TI - Procam Calibration from a Single Pose of a Planar Target
SN - 978-989-758-488-6
IS - 2184-4321
AU - Lawal, G.
AU - Greenspan, M.
PY - 2021
SP - 817
EP - 827
DO - 10.5220/0010327708170827
PB - SciTePress