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Calibration of Binocular Vision Sensors Based on Unknown-Sized Elliptical Stripe Images
Most of the existing calibration methods for binocular stereo vision sensor (BSVS) depend on a high-accuracy target with feature points that are difficult and costly to manufacture. In complex light conditions, optical filters are used for BSVS, but they affect imaging quality. Hence, the use of a h...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751521/ https://www.ncbi.nlm.nih.gov/pubmed/29236037 http://dx.doi.org/10.3390/s17122873 |
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author | Liu, Zhen Wu, Suining Yin, Yang Wu, Jinbo |
author_facet | Liu, Zhen Wu, Suining Yin, Yang Wu, Jinbo |
author_sort | Liu, Zhen |
collection | PubMed |
description | Most of the existing calibration methods for binocular stereo vision sensor (BSVS) depend on a high-accuracy target with feature points that are difficult and costly to manufacture. In complex light conditions, optical filters are used for BSVS, but they affect imaging quality. Hence, the use of a high-accuracy target with certain-sized feature points for calibration is not feasible under such complex conditions. To solve these problems, a calibration method based on unknown-sized elliptical stripe images is proposed. With known intrinsic parameters, the proposed method adopts the elliptical stripes located on the parallel planes as a medium to calibrate BSVS online. In comparison with the common calibration methods, the proposed method avoids utilizing high-accuracy target with certain-sized feature points. Therefore, the proposed method is not only easy to implement but is a realistic method for the calibration of BSVS with optical filter. Changing the size of elliptical curves projected on the target solves the difficulty of applying the proposed method in different fields of view and distances. Simulative and physical experiments are conducted to validate the efficiency of the proposed method. When the field of view is approximately 400 mm × 300 mm, the proposed method can reach a calibration accuracy of 0.03 mm, which is comparable with that of Zhang’s method. |
format | Online Article Text |
id | pubmed-5751521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57515212018-01-10 Calibration of Binocular Vision Sensors Based on Unknown-Sized Elliptical Stripe Images Liu, Zhen Wu, Suining Yin, Yang Wu, Jinbo Sensors (Basel) Article Most of the existing calibration methods for binocular stereo vision sensor (BSVS) depend on a high-accuracy target with feature points that are difficult and costly to manufacture. In complex light conditions, optical filters are used for BSVS, but they affect imaging quality. Hence, the use of a high-accuracy target with certain-sized feature points for calibration is not feasible under such complex conditions. To solve these problems, a calibration method based on unknown-sized elliptical stripe images is proposed. With known intrinsic parameters, the proposed method adopts the elliptical stripes located on the parallel planes as a medium to calibrate BSVS online. In comparison with the common calibration methods, the proposed method avoids utilizing high-accuracy target with certain-sized feature points. Therefore, the proposed method is not only easy to implement but is a realistic method for the calibration of BSVS with optical filter. Changing the size of elliptical curves projected on the target solves the difficulty of applying the proposed method in different fields of view and distances. Simulative and physical experiments are conducted to validate the efficiency of the proposed method. When the field of view is approximately 400 mm × 300 mm, the proposed method can reach a calibration accuracy of 0.03 mm, which is comparable with that of Zhang’s method. MDPI 2017-12-13 /pmc/articles/PMC5751521/ /pubmed/29236037 http://dx.doi.org/10.3390/s17122873 Text en © 2017 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 Liu, Zhen Wu, Suining Yin, Yang Wu, Jinbo Calibration of Binocular Vision Sensors Based on Unknown-Sized Elliptical Stripe Images |
title | Calibration of Binocular Vision Sensors Based on Unknown-Sized Elliptical Stripe Images |
title_full | Calibration of Binocular Vision Sensors Based on Unknown-Sized Elliptical Stripe Images |
title_fullStr | Calibration of Binocular Vision Sensors Based on Unknown-Sized Elliptical Stripe Images |
title_full_unstemmed | Calibration of Binocular Vision Sensors Based on Unknown-Sized Elliptical Stripe Images |
title_short | Calibration of Binocular Vision Sensors Based on Unknown-Sized Elliptical Stripe Images |
title_sort | calibration of binocular vision sensors based on unknown-sized elliptical stripe images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751521/ https://www.ncbi.nlm.nih.gov/pubmed/29236037 http://dx.doi.org/10.3390/s17122873 |
work_keys_str_mv | AT liuzhen calibrationofbinocularvisionsensorsbasedonunknownsizedellipticalstripeimages AT wusuining calibrationofbinocularvisionsensorsbasedonunknownsizedellipticalstripeimages AT yinyang calibrationofbinocularvisionsensorsbasedonunknownsizedellipticalstripeimages AT wujinbo calibrationofbinocularvisionsensorsbasedonunknownsizedellipticalstripeimages |