Geometric Facade Modeling using LiDAR Point Clouds
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Abstract
LiDAR has established itself as a valuable technology in urban analysis, enabling capturing three-dimensional information to detect and model buildings. The development of mobile terrestrial LiDAR opened new possibilities for 3D modelling in urban areas. In this paper it is introduced a semiautomatic methodology that aims at computing three-dimensional models of buildings from mobile terrestrial LiDAR point clouds. For this purpose, the point cloud is segmented into uniform planes blocks analyzing the variation of the point density along the main directions of the façade. This enables segmenting the point cloud in plane regions that are later combined to build up the 3D model, even when the façade has different parallel planes. The main differential of the methodology is the use of the frequency histograms to segment the point cloud and detect the borders on the facade, guaranteeing time savings compared to traditional methods.
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