Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783392251870707712 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6359438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT selsseppe cameracalibrationusinggraycode AT ribbensbart cameracalibrationusinggraycode AT vanlanduitsteve cameracalibrationusinggraycode AT pennerudi cameracalibrationusinggraycode |