Calibration of a Different Field-of-view Stereo Camera System using an Embedded Checkerboard Pattern

Pathum Rathnayaka, Seung-Hae Baek, Soon-Yong Park

Abstract

Knowing the correct relative pose between cameras is considered as the first and foremost important step in a stereo camera system. It has been of the interest in many computer vision related experiments. Much work has been introduced for stereo systems with relatively common field-of-views; where a few number of advanced feature points-based methods have been presented for partially overlapping field-of-view systems. In this paper, we propose a new, yet simplified, method to calibrate a partially overlapping field-of-view heterogeneous stereo camera system using a specially designed embedded planar checkerboard pattern. The embedded pattern is a combination of two differently colored planar patterns with different checker sizes. The heterogeneous camera system comprises a lower focal length wide-angle camera and a higher focal length conventional narrow-angle camera. Relative pose between the cameras is calculated by multiplying transformation matrices. Our proposed method becomes a decent alternative to many advanced feature-based techniques. We show the robustness of our method through re-projection error and comparing point difference values in ’Y’ axis in image rectification results.

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Paper Citation


in Harvard Style

Rathnayaka P., Baek S. and Park S. (2017). Calibration of a Different Field-of-view Stereo Camera System using an Embedded Checkerboard Pattern . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 294-300. DOI: 10.5220/0006267802940300


in Bibtex Style

@conference{visapp17,
author={Pathum Rathnayaka and Seung-Hae Baek and Soon-Yong Park},
title={Calibration of a Different Field-of-view Stereo Camera System using an Embedded Checkerboard Pattern},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={294-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006267802940300},
isbn={978-989-758-225-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Calibration of a Different Field-of-view Stereo Camera System using an Embedded Checkerboard Pattern
SN - 978-989-758-225-7
AU - Rathnayaka P.
AU - Baek S.
AU - Park S.
PY - 2017
SP - 294
EP - 300
DO - 10.5220/0006267802940300