Quality Enhancement of Reconstructed 3D Models Using Coplanarity and Constraints

We present a process to improve the structural quality of automatically acquired architectural 3D models. Common architectural features like orientations of walls are exploited. The location of these features is extracted by using a probabilistic technique (RANSAC). The relationships among the features are automatically obtained by labelling them using a semantic net of an architectural scene. An evolutionary algorithm is used to optimise the orientations of the planes. Small irregularities in the planes are removed by projecting the triangulation vertices onto the planes. Planes in the resulting model are aligned to each other. The technique produces models with improved appearance. It is validated on synthetic and real data.