Automatic Estimation of Sphere Centers from Images of Calibrated Cameras

Levente Hajder, Tekla Tóth, Zoltán Pusztai

2020

Abstract

Calibration of devices with different modalities is a key problem in robotic vision. Regular spatial objects, such as planes, are frequently used for this task. This paper deals with the automatic detection of ellipses in camera images, as well as to estimate the 3D position of the spheres corresponding to the detected 2D ellipses. We propose two novel methods to (i) detect an ellipse in camera images and (ii) estimate the spatial location of the corresponding sphere if its size is known. The algorithms are tested both quantitatively and qualitatively. They are applied for calibrating the sensor system of autonomous cars equipped with digital cameras, depth sensors and LiDAR devices.

Paper Citation

in Harvard Style

Hajder L., Tóth T. and Pusztai Z. (2020). Automatic Estimation of Sphere Centers from Images of Calibrated Cameras. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 490-497. DOI: 10.5220/0009164304900497

in Bibtex Style

@conference{visapp20,
author={Levente Hajder and Tekla Tóth and Zoltán Pusztai},
title={Automatic Estimation of Sphere Centers from Images of Calibrated Cameras},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={490-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009164304900497},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Automatic Estimation of Sphere Centers from Images of Calibrated Cameras
SN - 978-989-758-402-2
AU - Hajder L.
AU - Tóth T.
AU - Pusztai Z.
PY - 2020
SP - 490
EP - 497
DO - 10.5220/0009164304900497
PB - SciTePress