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Remote Sensing
Volume 12
Issue 12
10.3390/rs12122051
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Article

A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation †

by
Anthony Pamart
1,*,
François Morlet
2,
Livio De Luca
1 and
Philippe Veron
3
1
Modèles et simulations pour l’Architecture et le Patrimoine, UMR 3495 CNRS/MC, 13402 Marseille, France
2
Centre Interdisciplinaire de Conservation et de Restauration du Patrimoine, LABCOM CICRP/MAP, 13003 Marseille, France
3
LISPEN (EA 7515), Arts et Métiers Institute of Technology, 13617 Aix-en-Provence, France
*
Author to whom correspondence should be addressed.
†
This paper is an extended version of our paper published in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W9, 2019 8th Intl. Workshop 3D-ARCH “3D Virtual Reconstruction and Visualization of Complex Architectures”, Bergamo, Italy, 6–8 February 2019; pp. 565–571.
Remote Sens. 2020, 12(12), 2051; https://doi.org/10.3390/rs12122051
Received: 30 April 2020 / Revised: 20 June 2020 / Accepted: 21 June 2020 / Published: 25 June 2020
(This article belongs to the Special Issue 2nd Edition Advances in Remote Sensing for Archaeological Heritage)
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Abstract

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. View Full-Text
Keywords: close-range photogrammetry; structure from motion; MicMac; OpenMVG; data-fusion; remote-computing; multimodal imaging; cultural heritage close-range photogrammetry; structure from motion; MicMac; OpenMVG; data-fusion; remote-computing; multimodal imaging; cultural heritage
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MDPI and ACS Style

Pamart, A.; Morlet, F.; De Luca, L.; Veron, P. A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation. Remote Sens. 2020, 12, 2051. https://doi.org/10.3390/rs12122051

AMA Style

Pamart A, Morlet F, De Luca L, Veron P. A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation. Remote Sensing. 2020; 12(12):2051. https://doi.org/10.3390/rs12122051

Chicago/Turabian Style

Pamart, Anthony, François Morlet, Livio De Luca, and Philippe Veron. 2020. "A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation" Remote Sensing 12, no. 12: 2051. https://doi.org/10.3390/rs12122051

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