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3D Reconstruction with Single-Shot Structured Light RGB Line Pattern
Single-shot 3D reconstruction technique is very important for measuring moving and deforming objects. After many decades of study, a great number of interesting single-shot techniques have been proposed, yet the problem remains open. In this paper, a new approach is proposed to reconstruct deforming...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309849/ https://www.ncbi.nlm.nih.gov/pubmed/34300559 http://dx.doi.org/10.3390/s21144819 |
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author | Li, Yikang Wang, Zhenzhou |
author_facet | Li, Yikang Wang, Zhenzhou |
author_sort | Li, Yikang |
collection | PubMed |
description | Single-shot 3D reconstruction technique is very important for measuring moving and deforming objects. After many decades of study, a great number of interesting single-shot techniques have been proposed, yet the problem remains open. In this paper, a new approach is proposed to reconstruct deforming and moving objects with the structured light RGB line pattern. The structured light RGB line pattern is coded using parallel red, green, and blue lines with equal intervals to facilitate line segmentation and line indexing. A slope difference distribution (SDD)-based image segmentation method is proposed to segment the lines robustly in the HSV color space. A method of exclusion is proposed to index the red lines, the green lines, and the blue lines respectively and robustly. The indexed lines in different colors are fused to obtain a phase map for 3D depth calculation. The quantitative accuracies of measuring a calibration grid and a ball achieved by the proposed approach are 0.46 and 0.24 mm, respectively, which are significantly lower than those achieved by the compared state-of-the-art single-shot techniques. |
format | Online Article Text |
id | pubmed-8309849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83098492021-07-25 3D Reconstruction with Single-Shot Structured Light RGB Line Pattern Li, Yikang Wang, Zhenzhou Sensors (Basel) Article Single-shot 3D reconstruction technique is very important for measuring moving and deforming objects. After many decades of study, a great number of interesting single-shot techniques have been proposed, yet the problem remains open. In this paper, a new approach is proposed to reconstruct deforming and moving objects with the structured light RGB line pattern. The structured light RGB line pattern is coded using parallel red, green, and blue lines with equal intervals to facilitate line segmentation and line indexing. A slope difference distribution (SDD)-based image segmentation method is proposed to segment the lines robustly in the HSV color space. A method of exclusion is proposed to index the red lines, the green lines, and the blue lines respectively and robustly. The indexed lines in different colors are fused to obtain a phase map for 3D depth calculation. The quantitative accuracies of measuring a calibration grid and a ball achieved by the proposed approach are 0.46 and 0.24 mm, respectively, which are significantly lower than those achieved by the compared state-of-the-art single-shot techniques. MDPI 2021-07-14 /pmc/articles/PMC8309849/ /pubmed/34300559 http://dx.doi.org/10.3390/s21144819 Text en © 2021 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 Li, Yikang Wang, Zhenzhou 3D Reconstruction with Single-Shot Structured Light RGB Line Pattern |
title | 3D Reconstruction with Single-Shot Structured Light RGB Line Pattern |
title_full | 3D Reconstruction with Single-Shot Structured Light RGB Line Pattern |
title_fullStr | 3D Reconstruction with Single-Shot Structured Light RGB Line Pattern |
title_full_unstemmed | 3D Reconstruction with Single-Shot Structured Light RGB Line Pattern |
title_short | 3D Reconstruction with Single-Shot Structured Light RGB Line Pattern |
title_sort | 3d reconstruction with single-shot structured light rgb line pattern |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309849/ https://www.ncbi.nlm.nih.gov/pubmed/34300559 http://dx.doi.org/10.3390/s21144819 |
work_keys_str_mv | AT liyikang 3dreconstructionwithsingleshotstructuredlightrgblinepattern AT wangzhenzhou 3dreconstructionwithsingleshotstructuredlightrgblinepattern |