A Robust Chessboard Detector for Geometric Camera Calibration

Mathis Hoffmann, Andreas Ernst, Tobias Bergen, Sebastian Hettenkofer, Jens-Uwe Garbas

2017

Abstract

We introduce an algorithm that detects chessboard patterns in images precisely and robustly for application in camera calibration. Because of the low requirements on the calibration images, our solution is particularly suited for endoscopic camera calibration. It successfully copes with strong lens distortions, partially occluded patterns, image blur, and image noise. Our detector initially uses a sparse sampling method to find some connected squares of the chessboard pattern in the image. A pattern-growing strategy iteratively locates adjacent chessboard corners with a region-based corner detector. The corner detector examines entire image regions with the help of the integral image to handle poor image quality. We show that it outperforms recent solutions in terms of detection rates and performs at least equally well in terms of accuracy.

Paper Citation

in Harvard Style

Hoffmann M., Ernst A., Bergen T., Hettenkofer S. and Garbas J. (2017). A Robust Chessboard Detector for Geometric Camera Calibration . 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 34-43. DOI: 10.5220/0006104300340043

in Bibtex Style

@conference{visapp17,
author={Mathis Hoffmann and Andreas Ernst and Tobias Bergen and Sebastian Hettenkofer and Jens-Uwe Garbas},
title={A Robust Chessboard Detector for Geometric Camera Calibration},
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={34-43},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006104300340043},
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 - A Robust Chessboard Detector for Geometric Camera Calibration
SN - 978-989-758-225-7
AU - Hoffmann M.
AU - Ernst A.
AU - Bergen T.
AU - Hettenkofer S.
AU - Garbas J.
PY - 2017
SP - 34
EP - 43
DO - 10.5220/0006104300340043