Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 71-74, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/71/2016/
doi:10.5194/isprs-archives-XLI-B3-71-2016
 
09 Jun 2016
3D Building Reconstruction Using Dense Photogrammetric Point Cloud
S. Malihi1,2, M. J. Valadan Zoej1, M. Hahn2, M. Mokhtarzade1, and H. Arefi3 1Faculty of Geodesy and Geomatics Engineering, Khaje Nasir Toosi University of Technology, Tehran, Iran
2University of Applied Sciences, Stuttgart, Germany
3School of Surveying and Geospatial Engineering, University of Tehran, Tehran, Iran
Keywords: Building reconstruction, UAV, Point Cloud, Data-driven, Occlusion Abstract. 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.
Conference paper (PDF, 931 KB)


Citation: Malihi, S., Valadan Zoej, M. J., Hahn, M., Mokhtarzade, M., and Arefi, H.: 3D Building Reconstruction Using Dense Photogrammetric Point Cloud, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 71-74, doi:10.5194/isprs-archives-XLI-B3-71-2016, 2016.

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