loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mathis Hoffmann ; Andreas Ernst ; Tobias Bergen ; Sebastian Hettenkofer and Jens-Uwe Garbas

Affiliation: Fraunhofer Institute for Integrated Circuits IIS, Germany

Keyword(s): Chessboard Detection, Camera Calibration, Endoscope Calibration, Integral Image, Checkerboard Detection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Image and Video Analysis ; Image Formation and Preprocessing ; Medical Image Applications ; Shape Representation and Matching

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.168.113.248

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 34-43. DOI: 10.5220/0006104300340043

@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 (VISIGRAPP 2017) - Volume 4: VISAPP},
year={2017},
pages={34-43},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006104300340043},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP
TI - A Robust Chessboard Detector for Geometric Camera Calibration
SN - 978-989-758-225-7
IS - 2184-4321
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
PB - SciTePress