2D/3D data fusion for the comparative analysis of the vaults of Notre-Dame de Paris before and after the fire

被引:16
作者
Mouaddib, El Mustapha [1 ]
Pamart, Anthony [2 ]
Pierrot-Deseilligny, Marc [3 ]
Girardeau-Montaut, Daniel [4 ]
机构
[1] Lab MIS UPJV, 33 Rue St Leu, F-80000 Amiens, France
[2] UMR 3495 MAP CNRS MC, Campus CNRS,Batiment 31,Chemin Joseph Aiguier, F-13402 Marseille 20, France
[3] Univ Gustave Eiffel, LaSTIG Lab, 73 Ave Paris, F-94160 St Mande, France
[4] CloudCompareopen Sourceproject, St Mande, France
关键词
Vault diagnosis; 3D model; Notre-Dame de Paris cathedral; 2D/3D alignment; Photogrammetry; Laser scanning; REGISTRATION;
D O I
10.1016/j.culher.2023.06.012
中图分类号
K85 [文物考古];
学科分类号
0601 ;
摘要
The work presented in this article was carried out following the fire (April 15, 2019) that ravaged NotreDame de Paris. The goal was to establish in a short and limited time-span the structural diagnosis of the remaining vaults of the cathedral. The analysis relied on 2D and 3D data acquired before and after the fire, and available at that time. Two complementary methods have been developed to estimate potential displacements from multi-temporal surveys. The first method is mainly based on the processing of image collections obtained with photogrammetric routines right after the fire. The second method, based on the processing of raw 3D data acquired with Terrestrial Laser Scanning, was developed afterward to refine and complete the analysis. Both methods have benefited from essential functionalities offered by two open-source solutions proven to enable "real-based" modeling in Cultural Heritage contexts, namely Micmac and CloudCompare. This paper presents the complementary use of these two software packages whilst detailing some procedural computing approaches to document and support structural diagnosis in an emergency situation. The limits and capabilities of each method are exposed and analyzed, toward the objective to develop 2.5D and 3D based geometrical analysis, respectively from photogrammetric and lasergrammetric sources. The results are presented and discussed regarding their potential usage for a quantitative and accurate diagnosis of vaults. (c) 2023 Consiglio Nazionale delle Ricerche (CNR). Published by Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:221 / 231
页数:11
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