The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 427–434, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-427-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 427–434, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-427-2020

  12 Aug 2020

12 Aug 2020

LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES

H. Huang, M. Michelini, M. Schmitz, L. Roth, and H. Mayer H. Huang et al.
  • Institute for Applied Computer Science, Universität der Bundeswehr München, Germany

Keywords: 3D Reconstruction, Multi-View Stereo, Structure from Motion, Building Models, Generative Models

Abstract. We propose a pipeline for the detection as well as modeling of individual buildings based on multi-source images. It allows to consistently reconstruct whole buildings at Level of Detail 3 (LoD3): the roof from airborne images and the facades including elements such as windows and doors mainly from terrestrial images. We employ a parametrized top-down model – the “shell model” – with the roof as well as the facades semantically and geometrically integrated. This generative model fosters stability for building detection by enabling the use of multi-source data and offers flexibility in modeling by means of a fully CAD-compatible integration of building components. Experiments performed on imagery from different terrestrial and airborne (Unmanned Aerial Vehicle – UAV) cameras demonstrate the potential of the approach.