Driving 3D Geometric Modelling for Building Roof Reconstruction by Semantics

This paper investigates into model-based reconstruction of complex polyhedral scenes consisting of 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 for inferring missing parts of the model (by invoking the geometric regime once more) and for adjusting the overall model topology. A main application of the presented method is for automated building roof reconstruction from multiview aerial imagery in densely built up urban areas.

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