Title
An Iconography-Based Modeling Approach for the Spatio-Temporal Analysis of Architectural Heritage
Abstract
The study of historic buildings is usually based on the collection and analysis of iconographic sources such as photographs, drawings, engravings, paintings or sketches. This paper describes a methodological approach to make use of the existing iconographic corpus for the analysis and the 3D management of building transformations. Iconography is used for different goals. Firstly, it's a source of geometric information (image-based-modeling of anterior states); secondly, it's used for the re-creation of visual appearance (image-based texture extraction); thirdly it's a proof of the temporal distribution of shape transformations (spatio-temporal modeling); finally it becomes a visual support for the study of building transformations (visual comparison between different temporal states). The aim is to establish a relation between the iconography used for the hypothetical reconstruction and the 3D representation that depends on it. This approach relates to the idea of using 3D representations like visualization systems capable of reflecting the amount of knowledge developed by the study of a historic building.
Year
DOI
Venue
2010
10.1109/SMI.2010.28
Shape Modeling International Conference
Keywords
Field
DocType
visual appearance,methodological approach,iconography-based modeling approach,visual support,historic building,architectural heritage,different temporal state,existing iconographic corpus,visual comparison,temporal distribution,iconographic source,spatio-temporal analysis,different goal,visual system,iconography,art,humanities,information visualization,uncertainty,image restoration,shape,image reconstruction,data visualisation,history,painting,visualization,solid modeling
Iconography,Spatio-Temporal Analysis,Computer science,Artificial intelligence,Computer vision,Data visualization,Mathematical optimization,Visual comparison,Information retrieval,Information visualization,Visualization,Solid modeling,Visual appearance
Conference
ISBN
Citations 
PageRank 
978-1-4244-7260-4
8
0.96
References 
Authors
10
6
Name
Order
Citations
PageRank
Livio De Luca15414.37
Chawee Busarayat280.96
Chiara Stefani3224.49
Noemie Renaudin480.96
Michel Florenzano5416.37
Philippe Véron6719.37