Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W16, 397-404, 2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
10 Sep 2012
C. Stefani1, C. Busayarat1, N. Renaudin1, L. De Luca1, P. Véron2, and M. Florenzano1 1MAP (FRE CNRS/MCC 3315), Ecole Nationale Superieure d’Architecture, 184 Av. de Luminy, Marseille, France
2LSIS-IMS (UMR CNRS 6168), Arts et Métiers ParisTech, Aix-en-Provence, France
Keywords: Iconography, Image-based-modeling, shape transformation, uncertainty representation, information visualization, architectural heritage, space-time modelling, history graphs. 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.
Conference paper (PDF, 3712 KB)

Citation: Stefani, C., Busayarat, C., Renaudin, N., De Luca, L., Véron, P., and Florenzano, M.: AN IMAGE-BASED APPROACH FOR THE ARCHITECTURAL MODELING OF PAST STATES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W16, 397-404,, 2011.

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