Sharp geometry reconstruction of building facades using range data
In this paper we describe a method for detailed geometry reconstruction of building façades in an urban environment, given a 3D point-cloud of LiDAR range data. Our approach separates planar faces and interpolates their shape with Moving Least-Squares (MLS) sampling. A method is then proposed to reconstruct occluded areas of the building whereby gaps in the building surface are modeled with axis-aligned planes fit to the gap boundary vertices. This approach reconstructs unsampled areas of building surfaces under the assumption that buildings have 3D rectilinear, axis-aligned features. We demonstrate the effectiveness of our approach on a number of building façades.