Toward a multimodal photogrammetric acquisition and processing methodology for monitoring conservation and restoration studies
Author(s) -
Anthony Pamart,
Odile Guillon,
JeanMarc Vallet,
Livio De Luca
Publication year - 2016
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
ISBN - 978-3-03868-011-6
DOI - 10.2312/gch.20161409
Subject(s) - photogrammetry , computer science , point cloud , artifact (error) , documentation , computer vision , cultural heritage , artificial intelligence , footprint , remote sensing , automatic identification and data capture , geography , archaeology , speech recognition , programming language
Close-range photogrammetry is nowadays a common technique applied to acquire 3D data on Cultural Heritage (CH) artifacts. Image-based modeling are indeed providing useful resources for the documentation and the conservation but it is also set more recently as a monitoring tool that could help the decision making in term of restoration. The 3D footprint restitutes as a point cloud, the appearance according to a definite spatial resolution and at a given time, the visible surface of an artifact. Nevertheless, different techniques of scientific imaging are also used to obtain complementary information. This paper explores a multimodal approach of the photogrammetric survey and data processing to reach a multidimensional data integration (i.e. spatial, temporal and, or spectral).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom