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3D Building Reconstruction using Stereo Camera and Edge Detection

Three dimensional geo-referenced data for buildings are very important for many applications like cadastre, urban and regional planning, environmental issues, archaeology, architecture, tourism and energy. The acquisition and update of existing databases is time consuming and involves specialized equipment and heavy post processing of the raw data. In this study we propose a system for urban area data based on stereo cameras for the reconstruction of the 3D space and subsequent matching with limited geodetic measurements. The proposed stereo system along with image processing algorithms for edge detection and characteristic point matching in the two cameras allows for the reconstruction of the 3D scene in camera coordinates. The matching with the available geodetic data allows for the mapping of the entire scene on the word coordinates and the reconstruction of real world distance and angle measurements.