Volume XL-5/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 109-114, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W4-109-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 109-114, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W4-109-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  18 Feb 2015

18 Feb 2015

MIRROR IDENTIFICATION AND CORRECTION OF 3D POINT CLOUDS

P.-F. Käshammer and A. Nüchter P.-F. Käshammer and A. Nüchter
  • Informatics VII – Robotics and Telematics, Julius-Maximilians University Würzburg, Germany

Keywords: mirror identification, jump edge detection, panorama creation, plane detection, 3D point cloud correction

Abstract. In terrestrial laser scanning (TLS), the surface geometry of objects is scanned by laser beams and recorded digitally. This produces a discrete set of scan points, commonly referred to as a point cloud. The coordinates of the scan points are determined by measuring the angles and the time-of-flight relative to the origin (scanner position). However, if it comes to mirror surfaces laser beams are fully reflected, due to the high reflectivity. Mirrors do not appear in the point cloud at all. Instead, for every reflected beam, a incorrect scan point is created behind the actual mirror plane. Consequently, problems arise in multiple derived application fields such as 3D virtual reconstruction of complex architectures. The paper presents a new approach to automatically detect framed rectangular mirrors with known dimensions and to correct the 3D point cloud, using the calculated mirror plane.