Relational Models for Visual Understanding of Graphical Documents.\\ Application to Architectural Drawings.

Abstract

In this thesis we face the graphical document understanding problem by proposing several relational models for the complete interpretation of floor plans. Firstly, we introduce three different strategies on symbol detection for walls, doors and windows. Secondly, we present two relational strategies that tackle the problem of the visual context extraction. Finally, we construct a knowledge-based model consisting of an ontological definition of the domain and real data. All the resources used in this thesis are freely available for research purposes.