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Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction

Image-based 3D reconstruction has been employed in industrial metrology for micro-measurements and quality control purposes. However, generating a highly-detailed and reliable 3D reconstruction of non-collaborative surfaces is still an open issue. In this paper, a method for generating an accurate 3...

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Detalles Bibliográficos
Autores principales: Karami, Ali, Menna, Fabio, Remondino, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654855/
https://www.ncbi.nlm.nih.gov/pubmed/36365869
http://dx.doi.org/10.3390/s22218172
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author Karami, Ali
Menna, Fabio
Remondino, Fabio
author_facet Karami, Ali
Menna, Fabio
Remondino, Fabio
author_sort Karami, Ali
collection PubMed
description Image-based 3D reconstruction has been employed in industrial metrology for micro-measurements and quality control purposes. However, generating a highly-detailed and reliable 3D reconstruction of non-collaborative surfaces is still an open issue. In this paper, a method for generating an accurate 3D reconstruction of non-collaborative surfaces through a combination of photogrammetry and photometric stereo is presented. On one side, the geometric information derived with photogrammetry is used in areas where its 3D measurements are reliable. On the other hand, the high spatial resolution capability of photometric stereo is exploited to acquire a finely detailed topography of the surface. Finally, three different approaches are proposed to fuse both geometric information and high frequency details. The proposed method is tested on six different non-collaborative objects with different surface characteristics. To evaluate the accuracy of the proposed method, a comprehensive cloud-to-cloud comparison between reference data and 3D points derived from the proposed fusion methods is provided. The experiments demonstrated that, despite correcting global deformation up to an average RMSE of less than 0.1 mm, the proposed method recovers the surface topography at the same high resolution as the photometric stereo.
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spelling pubmed-96548552022-11-15 Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction Karami, Ali Menna, Fabio Remondino, Fabio Sensors (Basel) Article Image-based 3D reconstruction has been employed in industrial metrology for micro-measurements and quality control purposes. However, generating a highly-detailed and reliable 3D reconstruction of non-collaborative surfaces is still an open issue. In this paper, a method for generating an accurate 3D reconstruction of non-collaborative surfaces through a combination of photogrammetry and photometric stereo is presented. On one side, the geometric information derived with photogrammetry is used in areas where its 3D measurements are reliable. On the other hand, the high spatial resolution capability of photometric stereo is exploited to acquire a finely detailed topography of the surface. Finally, three different approaches are proposed to fuse both geometric information and high frequency details. The proposed method is tested on six different non-collaborative objects with different surface characteristics. To evaluate the accuracy of the proposed method, a comprehensive cloud-to-cloud comparison between reference data and 3D points derived from the proposed fusion methods is provided. The experiments demonstrated that, despite correcting global deformation up to an average RMSE of less than 0.1 mm, the proposed method recovers the surface topography at the same high resolution as the photometric stereo. MDPI 2022-10-25 /pmc/articles/PMC9654855/ /pubmed/36365869 http://dx.doi.org/10.3390/s22218172 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
Karami, Ali
Menna, Fabio
Remondino, Fabio
Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction
title Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction
title_full Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction
title_fullStr Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction
title_full_unstemmed Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction
title_short Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction
title_sort combining photogrammetry and photometric stereo to achieve precise and complete 3d reconstruction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654855/
https://www.ncbi.nlm.nih.gov/pubmed/36365869
http://dx.doi.org/10.3390/s22218172
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