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3D reconstruction of laser projective point with projection invariant generated from five points on 2D target

Vision measurement on the basis of structured light plays a significant role in the optical inspection research. The 2D target fixed with a line laser projector is designed to realize the transformations among the world coordinate system, the camera coordinate system and the image coordinate system....

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Detalles Bibliográficos
Autores principales: Xu, Guan, Yuan, Jing, Li, Xiaotao, Su, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539132/
https://www.ncbi.nlm.nih.gov/pubmed/28765638
http://dx.doi.org/10.1038/s41598-017-07410-6
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author Xu, Guan
Yuan, Jing
Li, Xiaotao
Su, Jian
author_facet Xu, Guan
Yuan, Jing
Li, Xiaotao
Su, Jian
author_sort Xu, Guan
collection PubMed
description Vision measurement on the basis of structured light plays a significant role in the optical inspection research. The 2D target fixed with a line laser projector is designed to realize the transformations among the world coordinate system, the camera coordinate system and the image coordinate system. The laser projective point and five non-collinear points that are randomly selected from the target are adopted to construct a projection invariant. The closed form solutions of the 3D laser points are solved by the homogeneous linear equations generated from the projection invariants. The optimization function is created by the parameterized re-projection errors of the laser points and the target points in the image coordinate system. Furthermore, the nonlinear optimization solutions of the world coordinates of the projection points, the camera parameters and the lens distortion coefficients are contributed by minimizing the optimization function. The accuracy of the 3D reconstruction is evaluated by comparing the displacements of the reconstructed laser points with the actual displacements. The effects of the image quantity, the lens distortion and the noises are investigated in the experiments, which demonstrate that the reconstruction approach is effective to contribute the accurate test in the measurement system.
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spelling pubmed-55391322017-08-07 3D reconstruction of laser projective point with projection invariant generated from five points on 2D target Xu, Guan Yuan, Jing Li, Xiaotao Su, Jian Sci Rep Article Vision measurement on the basis of structured light plays a significant role in the optical inspection research. The 2D target fixed with a line laser projector is designed to realize the transformations among the world coordinate system, the camera coordinate system and the image coordinate system. The laser projective point and five non-collinear points that are randomly selected from the target are adopted to construct a projection invariant. The closed form solutions of the 3D laser points are solved by the homogeneous linear equations generated from the projection invariants. The optimization function is created by the parameterized re-projection errors of the laser points and the target points in the image coordinate system. Furthermore, the nonlinear optimization solutions of the world coordinates of the projection points, the camera parameters and the lens distortion coefficients are contributed by minimizing the optimization function. The accuracy of the 3D reconstruction is evaluated by comparing the displacements of the reconstructed laser points with the actual displacements. The effects of the image quantity, the lens distortion and the noises are investigated in the experiments, which demonstrate that the reconstruction approach is effective to contribute the accurate test in the measurement system. Nature Publishing Group UK 2017-08-01 /pmc/articles/PMC5539132/ /pubmed/28765638 http://dx.doi.org/10.1038/s41598-017-07410-6 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xu, Guan
Yuan, Jing
Li, Xiaotao
Su, Jian
3D reconstruction of laser projective point with projection invariant generated from five points on 2D target
title 3D reconstruction of laser projective point with projection invariant generated from five points on 2D target
title_full 3D reconstruction of laser projective point with projection invariant generated from five points on 2D target
title_fullStr 3D reconstruction of laser projective point with projection invariant generated from five points on 2D target
title_full_unstemmed 3D reconstruction of laser projective point with projection invariant generated from five points on 2D target
title_short 3D reconstruction of laser projective point with projection invariant generated from five points on 2D target
title_sort 3d reconstruction of laser projective point with projection invariant generated from five points on 2d target
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539132/
https://www.ncbi.nlm.nih.gov/pubmed/28765638
http://dx.doi.org/10.1038/s41598-017-07410-6
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