A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation
Imaging techniques and Image Based-Modeling (IBM) practices in the field of Cultural Heritage (CH) studies are nowadays no longer used as one-shot applications but as various and complex scenarios involving multiple modalities; sensors, scales, spectral bands and temporalities utilized by various ex...
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Format: | Article |
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MDPI AG
2020-06-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/12/12/2051 |
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author | Anthony Pamart François Morlet Livio De Luca Philippe Veron |
author_facet | Anthony Pamart François Morlet Livio De Luca Philippe Veron |
author_sort | Anthony Pamart |
collection | DOAJ |
description | Imaging techniques and Image Based-Modeling (IBM) practices in the field of Cultural Heritage (CH) studies are nowadays no longer used as one-shot applications but as various and complex scenarios involving multiple modalities; sensors, scales, spectral bands and temporalities utilized by various experts. Current use of Structure from Motion and photogrammetric methods necessitates some improvements in iterative registration to ease the growing complexity in the management of the scientific imaging applied on heritage assets. In this context, the co-registration of photo-documentation among other imaging resources is a key step in order to move towards data fusion and collaborative semantic enrichment scenarios. This paper presents the recent development of a Totally Automated Co-registration and Orientation library (TACO) based on the interoperability of open-source solutions to conduct photogrammetric-based registration. The proposed methodology addresses and solves some gaps in term of robustness and versatility in the field of incremental and global orientation of image-sets dedicated to CH practices. |
first_indexed | 2024-03-10T18:52:56Z |
format | Article |
id | doaj.art-06ca0c2c71fb4e4293a458a67c3ae28b |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T18:52:56Z |
publishDate | 2020-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-06ca0c2c71fb4e4293a458a67c3ae28b2023-11-20T04:58:48ZengMDPI AGRemote Sensing2072-42922020-06-011212205110.3390/rs12122051A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage DocumentationAnthony Pamart0François Morlet1Livio De Luca2Philippe Veron3Modèles et simulations pour l’Architecture et le Patrimoine, UMR 3495 CNRS/MC, 13402 Marseille, FranceCentre Interdisciplinaire de Conservation et de Restauration du Patrimoine, LABCOM CICRP/MAP, 13003 Marseille, FranceModèles et simulations pour l’Architecture et le Patrimoine, UMR 3495 CNRS/MC, 13402 Marseille, FranceLISPEN (EA 7515), Arts et Métiers Institute of Technology, 13617 Aix-en-Provence, FranceImaging techniques and Image Based-Modeling (IBM) practices in the field of Cultural Heritage (CH) studies are nowadays no longer used as one-shot applications but as various and complex scenarios involving multiple modalities; sensors, scales, spectral bands and temporalities utilized by various experts. Current use of Structure from Motion and photogrammetric methods necessitates some improvements in iterative registration to ease the growing complexity in the management of the scientific imaging applied on heritage assets. In this context, the co-registration of photo-documentation among other imaging resources is a key step in order to move towards data fusion and collaborative semantic enrichment scenarios. This paper presents the recent development of a Totally Automated Co-registration and Orientation library (TACO) based on the interoperability of open-source solutions to conduct photogrammetric-based registration. The proposed methodology addresses and solves some gaps in term of robustness and versatility in the field of incremental and global orientation of image-sets dedicated to CH practices.https://www.mdpi.com/2072-4292/12/12/2051close-range photogrammetrystructure from motionMicMacOpenMVGdata-fusionremote-computing |
spellingShingle | Anthony Pamart François Morlet Livio De Luca Philippe Veron A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation Remote Sensing close-range photogrammetry structure from motion MicMac OpenMVG data-fusion remote-computing |
title | A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation |
title_full | A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation |
title_fullStr | A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation |
title_full_unstemmed | A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation |
title_short | A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation |
title_sort | robust and versatile pipeline for automatic photogrammetric based registration of multimodal cultural heritage documentation |
topic | close-range photogrammetry structure from motion MicMac OpenMVG data-fusion remote-computing |
url | https://www.mdpi.com/2072-4292/12/12/2051 |
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