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3D Metrology Using One Camera with Rotating Anamorphic Lenses
In this paper, a novel 3D metrology method using one camera with rotating anamorphic lenses is presented based on the characteristics of double optical centers for anamorphic imaging. When the anamorphic lens rotates −90° around its optical axis, the 3D data of the measured object can be reconstruct...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656777/ https://www.ncbi.nlm.nih.gov/pubmed/36366104 http://dx.doi.org/10.3390/s22218407 |
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author | Chen, Xiaobo Zhang, Jinkai Xi, Juntong |
author_facet | Chen, Xiaobo Zhang, Jinkai Xi, Juntong |
author_sort | Chen, Xiaobo |
collection | PubMed |
description | In this paper, a novel 3D metrology method using one camera with rotating anamorphic lenses is presented based on the characteristics of double optical centers for anamorphic imaging. When the anamorphic lens rotates −90° around its optical axis, the 3D data of the measured object can be reconstructed from the two anamorphic images captured before and after the anamorphic rotation. The anamorphic lens imaging model and a polynomial anamorphic distortion model are firstly proposed. Then, a 3D reconstruction model using one camera with rotating anamorphic lenses is presented. Experiments were carried out to validate the proposed method and evaluate its measurement accuracy. Compared with stereo vision, the main advantage of the proposed 3D metrology approach is the simplicity of point matching, which makes it suitable for developing compact sensors for fast 3D measurements, such as car navigation applications. |
format | Online Article Text |
id | pubmed-9656777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96567772022-11-15 3D Metrology Using One Camera with Rotating Anamorphic Lenses Chen, Xiaobo Zhang, Jinkai Xi, Juntong Sensors (Basel) Article In this paper, a novel 3D metrology method using one camera with rotating anamorphic lenses is presented based on the characteristics of double optical centers for anamorphic imaging. When the anamorphic lens rotates −90° around its optical axis, the 3D data of the measured object can be reconstructed from the two anamorphic images captured before and after the anamorphic rotation. The anamorphic lens imaging model and a polynomial anamorphic distortion model are firstly proposed. Then, a 3D reconstruction model using one camera with rotating anamorphic lenses is presented. Experiments were carried out to validate the proposed method and evaluate its measurement accuracy. Compared with stereo vision, the main advantage of the proposed 3D metrology approach is the simplicity of point matching, which makes it suitable for developing compact sensors for fast 3D measurements, such as car navigation applications. MDPI 2022-11-01 /pmc/articles/PMC9656777/ /pubmed/36366104 http://dx.doi.org/10.3390/s22218407 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Xiaobo Zhang, Jinkai Xi, Juntong 3D Metrology Using One Camera with Rotating Anamorphic Lenses |
title | 3D Metrology Using One Camera with Rotating Anamorphic Lenses |
title_full | 3D Metrology Using One Camera with Rotating Anamorphic Lenses |
title_fullStr | 3D Metrology Using One Camera with Rotating Anamorphic Lenses |
title_full_unstemmed | 3D Metrology Using One Camera with Rotating Anamorphic Lenses |
title_short | 3D Metrology Using One Camera with Rotating Anamorphic Lenses |
title_sort | 3d metrology using one camera with rotating anamorphic lenses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656777/ https://www.ncbi.nlm.nih.gov/pubmed/36366104 http://dx.doi.org/10.3390/s22218407 |
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