Semantic Structuring and 3D Modeling of Masonry Structure

Abstract

Studies of architectural heritage require tight control over spatial data. It is an prerequisite for the representation, analysis, conservation and structural restoration of architectural heritage. As regards the morphology of architectural works, the challenge is to move from 3D survey raw data to semantic 3D models. The objective of our project is to develop and experiment a process for the treatment of point clouds in order to create a computational model dedicated to mechanic behavior analysis. Thus, the modeling and semantic structuring is achieved through a knowledge-based approach. Semantic dimension and topological constraints are identified and explicated through the creation of a knowledge model of masonry works. This knowledge is used to implement a set of tools for the reverse engineering of digitized masonry structures.