Volume IV-2/W4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 243-250, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-243-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 243-250, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-243-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Sep 2017

13 Sep 2017

AUTOMATIC BUILDING ABSTRACTION FROM AERIAL PHOTOGRAMMETRY

A. Ley, R. Hänsch, and O. Hellwich A. Ley et al.
  • Dept. of Computer Vision & Remote Sensing, Technische Universität Berlin, Berlin, Germany

Keywords: Aerial imagery, photogrammetry, 3D reconstruction, abstraction

Abstract. Multi-view stereo has been shown to be a viable tool for the creation of realistic 3D city models. Nevertheless, it still states significant challenges since it results in dense, but noisy and incomplete point clouds when applied to aerial images. 3D city modelling usually requires a different representation of the 3D scene than these point clouds. This paper applies a fully-automatic pipeline to generate a simplified mesh from a given dense point cloud. The mesh provides a certain level of abstraction as it only consists of relatively large planar and textured surfaces. Thus, it is possible to remove noise, outlier, as well as clutter, while maintaining a high level of accuracy.