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Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared
Thermal infrared imaging is less affected by lighting conditions and smoke compared to visible light imaging. However, thermal infrared images often have lower resolution and lack rich texture details, making them unsuitable for stereo matching and 3D reconstruction. To enhance the quality of infrar...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490217/ https://www.ncbi.nlm.nih.gov/pubmed/37687828 http://dx.doi.org/10.3390/s23177372 |
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author | Li, Huaizhou Wang, Shuaijun Bai, Zhenpeng Wang, Hong Li, Sen Wen, Shupei |
author_facet | Li, Huaizhou Wang, Shuaijun Bai, Zhenpeng Wang, Hong Li, Sen Wen, Shupei |
author_sort | Li, Huaizhou |
collection | PubMed |
description | Thermal infrared imaging is less affected by lighting conditions and smoke compared to visible light imaging. However, thermal infrared images often have lower resolution and lack rich texture details, making them unsuitable for stereo matching and 3D reconstruction. To enhance the quality of infrared stereo imaging, we propose an advanced stereo matching algorithm. Firstly, the images undergo preprocessing using a non-local mean noise reduction algorithm to remove thermal noise and achieve a smoother result. Subsequently, we perform camera calibration using a custom-made chessboard calibration board and Zhang’s camera calibration method to obtain accurate camera parameters. Finally, the disparity map is generated using the SGBM (semi-global block matching) algorithm based on the weighted least squares method, enabling the 3D point cloud reconstruction of the object. The experimental results demonstrate that the proposed algorithm performs well in objects with sufficient thermal contrast and relatively simple scenes. The proposed algorithm reduces the average error value by 10.9 mm and the absolute value of the average error by 1.07% when compared with the traditional SGBM algorithm, resulting in improved stereo matching accuracy for thermal infrared imaging. While ensuring accuracy, our proposed algorithm achieves the stereo reconstruction of the object with a good visual effect, thereby holding high practical value. |
format | Online Article Text |
id | pubmed-10490217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104902172023-09-09 Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared Li, Huaizhou Wang, Shuaijun Bai, Zhenpeng Wang, Hong Li, Sen Wen, Shupei Sensors (Basel) Article Thermal infrared imaging is less affected by lighting conditions and smoke compared to visible light imaging. However, thermal infrared images often have lower resolution and lack rich texture details, making them unsuitable for stereo matching and 3D reconstruction. To enhance the quality of infrared stereo imaging, we propose an advanced stereo matching algorithm. Firstly, the images undergo preprocessing using a non-local mean noise reduction algorithm to remove thermal noise and achieve a smoother result. Subsequently, we perform camera calibration using a custom-made chessboard calibration board and Zhang’s camera calibration method to obtain accurate camera parameters. Finally, the disparity map is generated using the SGBM (semi-global block matching) algorithm based on the weighted least squares method, enabling the 3D point cloud reconstruction of the object. The experimental results demonstrate that the proposed algorithm performs well in objects with sufficient thermal contrast and relatively simple scenes. The proposed algorithm reduces the average error value by 10.9 mm and the absolute value of the average error by 1.07% when compared with the traditional SGBM algorithm, resulting in improved stereo matching accuracy for thermal infrared imaging. While ensuring accuracy, our proposed algorithm achieves the stereo reconstruction of the object with a good visual effect, thereby holding high practical value. MDPI 2023-08-24 /pmc/articles/PMC10490217/ /pubmed/37687828 http://dx.doi.org/10.3390/s23177372 Text en © 2023 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, Huaizhou Wang, Shuaijun Bai, Zhenpeng Wang, Hong Li, Sen Wen, Shupei Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared |
title | Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared |
title_full | Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared |
title_fullStr | Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared |
title_full_unstemmed | Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared |
title_short | Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared |
title_sort | research on 3d reconstruction of binocular vision based on thermal infrared |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490217/ https://www.ncbi.nlm.nih.gov/pubmed/37687828 http://dx.doi.org/10.3390/s23177372 |
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