Visual Tilt Correction for Vehicle-mounted Cameras

Firas Kastantin, Levente Hajder

2022

Abstract

Assuming planar motion for vehicle-mounted cameras is very beneficial as the visual estimation problems are simplified. Planar algorithms assume that the image plane is parallel to the gravity direction. This paper proposes two methods to correct camera images if this parallelity constraint does not hold. The first one utilizes that the ground is visible in the camera images, therefore its normal gives the gravity vector; the second method uses vanishing points to estimate the relative correction homography. The accuracy of the novel methods is tested on both synthetic and real data. It is demonstrated in real images of a vehicle-mounted camera that the methods work well in practice.

Paper Citation

in Harvard Style

Kastantin F. and Hajder L. (2022). Visual Tilt Correction for Vehicle-mounted Cameras. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP; ISBN 978-989-758-555-5, SciTePress, pages 863-870. DOI: 10.5220/0010904800003124

in Bibtex Style

@conference{visapp22,
author={Firas Kastantin and Levente Hajder},
title={Visual Tilt Correction for Vehicle-mounted Cameras},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP},
year={2022},
pages={863-870},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010904800003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP
TI - Visual Tilt Correction for Vehicle-mounted Cameras
SN - 978-989-758-555-5
AU - Kastantin F.
AU - Hajder L.
PY - 2022
SP - 863
EP - 870
DO - 10.5220/0010904800003124
PB - SciTePress