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Camera Calibration Using Gray Code

In order to determine camera parameters, a calibration procedure involving the camera recordings of a checkerboard is usually performed. In this paper, we propose an alternative approach that uses Gray-code patterns displayed on an LCD screen. Gray-code patterns allow us to decode 3D location inform...

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Detalles Bibliográficos
Autores principales: Sels, Seppe, Ribbens, Bart, Vanlanduit, Steve, Penne, Rudi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359438/
https://www.ncbi.nlm.nih.gov/pubmed/30634616
http://dx.doi.org/10.3390/s19020246
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author Sels, Seppe
Ribbens, Bart
Vanlanduit, Steve
Penne, Rudi
author_facet Sels, Seppe
Ribbens, Bart
Vanlanduit, Steve
Penne, Rudi
author_sort Sels, Seppe
collection PubMed
description In order to determine camera parameters, a calibration procedure involving the camera recordings of a checkerboard is usually performed. In this paper, we propose an alternative approach that uses Gray-code patterns displayed on an LCD screen. Gray-code patterns allow us to decode 3D location information of points of the LCD screen at every pixel in the camera image. This is in contrast to checkerboard patterns where the number of corresponding locations is limited to the number of checkerboard corners. We show that, for the case of a UEye CMOS camera, the precision of focal-length estimation is 1.5 times more precise than when using a standard calibration with a checkerboard pattern.
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spelling pubmed-63594382019-02-06 Camera Calibration Using Gray Code Sels, Seppe Ribbens, Bart Vanlanduit, Steve Penne, Rudi Sensors (Basel) Article In order to determine camera parameters, a calibration procedure involving the camera recordings of a checkerboard is usually performed. In this paper, we propose an alternative approach that uses Gray-code patterns displayed on an LCD screen. Gray-code patterns allow us to decode 3D location information of points of the LCD screen at every pixel in the camera image. This is in contrast to checkerboard patterns where the number of corresponding locations is limited to the number of checkerboard corners. We show that, for the case of a UEye CMOS camera, the precision of focal-length estimation is 1.5 times more precise than when using a standard calibration with a checkerboard pattern. MDPI 2019-01-10 /pmc/articles/PMC6359438/ /pubmed/30634616 http://dx.doi.org/10.3390/s19020246 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sels, Seppe
Ribbens, Bart
Vanlanduit, Steve
Penne, Rudi
Camera Calibration Using Gray Code
title Camera Calibration Using Gray Code
title_full Camera Calibration Using Gray Code
title_fullStr Camera Calibration Using Gray Code
title_full_unstemmed Camera Calibration Using Gray Code
title_short Camera Calibration Using Gray Code
title_sort camera calibration using gray code
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359438/
https://www.ncbi.nlm.nih.gov/pubmed/30634616
http://dx.doi.org/10.3390/s19020246
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