An Overview on Image-Based and Scanner-Based 3D Modeling Technologies
Advances in the scientific fields of photogrammetry and computer vision have led to the development of automated multi-image methods that solve the problem of 3D reconstruction. Simultaneously, 3D scanners have become a common source of data acquisition for 3D modeling of real objects/scenes/human b...
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/PMC9861742/ https://www.ncbi.nlm.nih.gov/pubmed/36679393 http://dx.doi.org/10.3390/s23020596 |
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author | Verykokou, Styliani Ioannidis, Charalabos |
author_facet | Verykokou, Styliani Ioannidis, Charalabos |
author_sort | Verykokou, Styliani |
collection | PubMed |
description | Advances in the scientific fields of photogrammetry and computer vision have led to the development of automated multi-image methods that solve the problem of 3D reconstruction. Simultaneously, 3D scanners have become a common source of data acquisition for 3D modeling of real objects/scenes/human bodies. This article presents a comprehensive overview of different 3D modeling technologies that may be used to generate 3D reconstructions of outer or inner surfaces of different kinds of targets. In this context, it covers the topics of 3D modeling using images via different methods, it provides a detailed classification of 3D scanners by additionally presenting the basic operating principles of each type of scanner, and it discusses the problem of generating 3D models from scans. Finally, it outlines some applications of 3D modeling, beyond well-established topographic ones. |
format | Online Article Text |
id | pubmed-9861742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98617422023-01-22 An Overview on Image-Based and Scanner-Based 3D Modeling Technologies Verykokou, Styliani Ioannidis, Charalabos Sensors (Basel) Review Advances in the scientific fields of photogrammetry and computer vision have led to the development of automated multi-image methods that solve the problem of 3D reconstruction. Simultaneously, 3D scanners have become a common source of data acquisition for 3D modeling of real objects/scenes/human bodies. This article presents a comprehensive overview of different 3D modeling technologies that may be used to generate 3D reconstructions of outer or inner surfaces of different kinds of targets. In this context, it covers the topics of 3D modeling using images via different methods, it provides a detailed classification of 3D scanners by additionally presenting the basic operating principles of each type of scanner, and it discusses the problem of generating 3D models from scans. Finally, it outlines some applications of 3D modeling, beyond well-established topographic ones. MDPI 2023-01-04 /pmc/articles/PMC9861742/ /pubmed/36679393 http://dx.doi.org/10.3390/s23020596 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 | Review Verykokou, Styliani Ioannidis, Charalabos An Overview on Image-Based and Scanner-Based 3D Modeling Technologies |
title | An Overview on Image-Based and Scanner-Based 3D Modeling Technologies |
title_full | An Overview on Image-Based and Scanner-Based 3D Modeling Technologies |
title_fullStr | An Overview on Image-Based and Scanner-Based 3D Modeling Technologies |
title_full_unstemmed | An Overview on Image-Based and Scanner-Based 3D Modeling Technologies |
title_short | An Overview on Image-Based and Scanner-Based 3D Modeling Technologies |
title_sort | overview on image-based and scanner-based 3d modeling technologies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861742/ https://www.ncbi.nlm.nih.gov/pubmed/36679393 http://dx.doi.org/10.3390/s23020596 |
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