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High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry
This paper presents a high-accuracy method for globally consistent surface reconstruction using a single fringe projection profilometry (FPP) sensor. To solve the accumulated sensor pose estimation error problem encountered in a long scanning trajectory, we first present a novel 3D registration meth...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386911/ https://www.ncbi.nlm.nih.gov/pubmed/30736377 http://dx.doi.org/10.3390/s19030668 |
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author | Cheng, Xu Liu, Xingjian Li, Zhongwei Zhong, Kai Han, Liya He, Wantao Gan, Wanbing Xi, Guoqing Wang, Congjun Shi, Yusheng |
author_facet | Cheng, Xu Liu, Xingjian Li, Zhongwei Zhong, Kai Han, Liya He, Wantao Gan, Wanbing Xi, Guoqing Wang, Congjun Shi, Yusheng |
author_sort | Cheng, Xu |
collection | PubMed |
description | This paper presents a high-accuracy method for globally consistent surface reconstruction using a single fringe projection profilometry (FPP) sensor. To solve the accumulated sensor pose estimation error problem encountered in a long scanning trajectory, we first present a novel 3D registration method which fuses both dense geometric and curvature consistency constraints to improve the accuracy of relative sensor pose estimation. Then we perform global sensor pose optimization by modeling the surface consistency information as a pre-computed covariance matrix and formulating the multi-view point cloud registration problem in a pose graph optimization framework. Experiments on reconstructing a 1300 mm × 400 mm workpiece with a FPP sensor is performed, verifying that our method can substantially reduce the accumulated error and achieve industrial-level surface model reconstruction without any external positional assistance but only using a single FPP sensor. |
format | Online Article Text |
id | pubmed-6386911 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63869112019-02-26 High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry Cheng, Xu Liu, Xingjian Li, Zhongwei Zhong, Kai Han, Liya He, Wantao Gan, Wanbing Xi, Guoqing Wang, Congjun Shi, Yusheng Sensors (Basel) Article This paper presents a high-accuracy method for globally consistent surface reconstruction using a single fringe projection profilometry (FPP) sensor. To solve the accumulated sensor pose estimation error problem encountered in a long scanning trajectory, we first present a novel 3D registration method which fuses both dense geometric and curvature consistency constraints to improve the accuracy of relative sensor pose estimation. Then we perform global sensor pose optimization by modeling the surface consistency information as a pre-computed covariance matrix and formulating the multi-view point cloud registration problem in a pose graph optimization framework. Experiments on reconstructing a 1300 mm × 400 mm workpiece with a FPP sensor is performed, verifying that our method can substantially reduce the accumulated error and achieve industrial-level surface model reconstruction without any external positional assistance but only using a single FPP sensor. MDPI 2019-02-06 /pmc/articles/PMC6386911/ /pubmed/30736377 http://dx.doi.org/10.3390/s19030668 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 Cheng, Xu Liu, Xingjian Li, Zhongwei Zhong, Kai Han, Liya He, Wantao Gan, Wanbing Xi, Guoqing Wang, Congjun Shi, Yusheng High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry |
title | High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry |
title_full | High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry |
title_fullStr | High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry |
title_full_unstemmed | High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry |
title_short | High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry |
title_sort | high-accuracy globally consistent surface reconstruction using fringe projection profilometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386911/ https://www.ncbi.nlm.nih.gov/pubmed/30736377 http://dx.doi.org/10.3390/s19030668 |
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