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AN IMAGE-BASED APPROACH FOR THE ARCHITECTURAL MODELING OF PAST STATES

Authors :
C. Stefani
C. Busayarat
N. Renaudin
L. De Luca
P. Véron
M. Florenzano
Source :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXVIII-5/W16, Pp 397-404 (2012)
Publication Year :
2012
Publisher :
Copernicus Publications, 2012.

Abstract

During the modelling process, 3D models are not easily conceived to support changes over time. On the contrary, for the description of cultural heritage, it is often necessary to display not only the actual state of buildings but also their previous states so to understand their modifications. The construction and structuring of spatio-temporal models of cultural heritage demand a double conceptual effort: on one side, 3D models must be reconstructed and structured in space according to architectural concepts; on the other one, such elements should follow the criteria of temporal decomposition. For this reason, links between structured elements should be established to keep track of changes over time. Moreover, only the current state can be reconstructed in a rigorous way using a combination of different 3D measurement techniques (such as laser scanning and photogrammetry); on the contrary, knowledge about past states is conditioned by missing elements, whose morphology and dating can reveal uncertain. For this reason, this paper describes a methodological approach to make use of the existing iconographic corpus for the analysis and the 3D management of building transformations. The aim is to establish a relation between the iconography used for the hypothetical reconstruction and the 3D representation that depends on it. As a result, 3D representations can be used like visualization systems capable of reflecting the amount of knowledge produced studying historic buildings.

Details

Language :
English
ISSN :
16821750 and 21949034
Volume :
XXXVIII-5/W16
Database :
Directory of Open Access Journals
Journal :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.9d1afa02c42045fda95cb519128d7e30
Document Type :
article
Full Text :
https://doi.org/10.5194/isprsarchives-XXXVIII-5-W16-397-2011