Next Article in Journal
A Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel-3 SLSTR Data
Previous Article in Journal
Real-Time Estimation of Low Earth Orbit (LEO) Satellite Clock Based on Ground Tracking Stations
Previous Article in Special Issue
Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq
Open AccessArticle

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

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)
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
Show Figures

Figure 1

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

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop