Piecewise Horizontal 3D Roof Reconstruction from Aerial Lidar

Slim Namouchi, Bruno Vallet, Imed Riadh Farah, Haythem Ismail

Abstract: 3D urban models provide convincing analytic tools for decision making, city planning, and smart city services. However, developing a fully automated method that can produce 3D building models of high quality, fidelity and accuracy is still a challenging task. Currently, most of the proposed approaches handle polyhedral roofs (consisting of planar polygons) because they assume that all roofs in a single area follow this prior. However, the reconstruction method could have its prior adapted to the roof type. In this paper, we are dealing with a specific roof case which is piecewise horizontal roofs which are very frequent in most countries of North Africa and in particular in Tunisia. Our building reconstruction method follows four main steps: building LiDAR points extraction, piecewise horizontal roof clustering, boundary creation and 3D geometric modeling. In order to prove the suitability and the effectiveness of the introduced method, experiments are conducted with real LiDAR data and aerial RGB image.