A Probabilistic Approach to Building Roof Reconstruction Using Semantic Labelling

This paper investigates into model-based reconstruction of complex polyhedral building roofs. A roof is modelled as a structured ensemble of planar polygonal faces. The modelling is done in two different regimes. One focuses on geometry, whereas the other is ruled by semantics. Inside the geometric regime, 3D line segments are grouped into planes and further into faces using a Bayesian analysis. In the second regime, the preliminary geometric models are subject to a semantic interpretation. The knowledge gained in this step is used to infer missing parts of the roof model (by invoking the geometric regime once more) and to adjust the overall roof topology. Several successfully reconstructed complex roof structures corroborate the potential of the approach.