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Authors: Igor Jánoš and Vanda Benešová

Affiliation: Faculty of Informatics and Information Technologies, Slovak Technical University in Bratislava, Slovakia

Keyword(s): Dataset, Radial Distortion, Camera Calibration, Sports, Football, Evaluation.

Abstract: In many computer vision domains, the input images must conform with the pinhole camera model, where straight lines in the real world are projected as straight lines in the image. Many existing camera calibration or distortion compensation methods have been developed using either ImageNet or other generic computer vision datasets, but they are difficult to compare and evaluate when applied to a specific sports domain. We present a new dataset, explicitly designed for the task of radial distortion correction, consisting of high-resolution panoramas of football arenas. From these panoramas, we produce a large number of cropped images distorted using known radial distortion parameters. We also present extensible open-source software to reproducibly export sets of training images conforming to the chosen radial distortion model. We evaluate a chosen radial distortion correction method on the proposed dataset. All data and software can be found at https://vgg.fiit.stuba.sk/football360.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Jánoš, I. and Benešová, V. (2023). Football360: Introducing a New Dataset for Camera Calibration in Sports Domain. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 301-308. DOI: 10.5220/0011681200003417

@conference{visapp23,
author={Igor Jánoš. and Vanda Benešová.},
title={Football360: Introducing a New Dataset for Camera Calibration in Sports Domain},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={301-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011681200003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Football360: Introducing a New Dataset for Camera Calibration in Sports Domain
SN - 978-989-758-634-7
IS - 2184-4321
AU - Jánoš, I.
AU - Benešová, V.
PY - 2023
SP - 301
EP - 308
DO - 10.5220/0011681200003417
PB - SciTePress