3D roof details by 3D aerial vision

Abstract : Virtual cities in a 3D GIS will not be complete without the details of roofs with chimneys, dormer windows, skylights. We contribute a method of extracting such details from digital large format aerial photography. The dense point clouds produced by a photogrammetric process produce major and minor plane surfaces of a roof and enter into a classification of its superstructures. In real city data with a total of 1312 superstructures the proposed automated process finds 1024, thus achieving success at a rate of 78%.
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Philipp Meixner, Franz Leberl, Mathieu Brédif. 3D roof details by 3D aerial vision. 1st IEEE/ISPRS workshop on Computer Vision for Remote Sensing of the Environment, Nov 2011, Barcelona, Spain. pp.212 - 218, ⟨10.1109/ICCVW.2011.6130245⟩. ⟨hal-01883129⟩

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