ISPRS-Archives ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLI-B3-71-2016 3D Building Reconstruction Using Dense Photogrammetric Point Cloud Malihi S. 1 2 Valadan Zoej M. J. 1 Hahn M. 2 Mokhtarzade M. 1 Arefi H. 3 Faculty of Geodesy and Geomatics Engineering, Khaje Nasir Toosi University of Technology, Tehran, Iran University of Applied Sciences, Stuttgart, Germany School of Surveying and Geospatial Engineering, University of Tehran, Tehran, Iran 09 06 2016 XLI-B3 71 74 This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B3-71-2016.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B3-71-2016.pdf

Three dimensional models of urban areas play an important role in city planning, disaster management, city navigation and other applications. Reconstruction of 3D building models is still a challenging issue in 3D city modelling. Point clouds generated from multi view images of UAV is a novel source of spatial data, which is used in this research for building reconstruction. The process starts with the segmentation of point clouds of roofs and walls into planar groups. By generating related surfaces and using geometrical constraints plus considering symmetry, a 3d model of building is reconstructed. In a refinement step, dormers are extracted, and their models are reconstructed. The details of the 3d reconstructed model are in LoD3 level, with respect to modelling eaves, fractions of roof and dormers.