International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 149–154, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-149-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 149–154, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-149-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Sep 2018

19 Sep 2018

FROM POINT CLOUDS TO 3D ISOVISTS IN INDOOR ENVIRONMENTS

L. Díaz-Vilariño1,2, L. González-deSantos1, E. Verbree2, G. Michailidou2, and S. Zlatanova3 L. Díaz-Vilariño et al.
  • 1Applied Geotechnologies Group, Dept. of Natural Resources and Environmental Engineering, University of Vigo, Spain
  • 2GIS Technology, OTB Research Institute for the Built Environment, Delft University of Technology, Julianalaan 134, Delft, The Netherlands
  • 3University of New South Wales, Built Environment, Red Centre, Kensington Campus, Sydney, NSW, Australia

Keywords: Visibility graphs, Path complexity, Spatial analysis, Navigation, Obstacle detection

Abstract. Visibility is a common measure to describe the spatial properties of an environment related to the spatial behaviour. Isovists represent the space that can be seen from one observation point, and they are used to analyse the existence of obstacles affecting or blocking intervisibility in an area. Although point clouds depict the as-built reality in a very detailed and accurate way, literature addressing the analysis of visibility in 3D, and more specifically the usage of point clouds to visibility analysis, is rather limited. In this paper, a methodology to evaluate visibility from point clouds in indoor environments is proposed, resulting in the creation of 3D isovists. Point cloud is firstly discretized in a voxel-based structure and voxels are labelled into ‘exterior’, ‘occupied’, ‘visible’ and ‘occluded’ based on an occupancy followed by a visibility analysis performed from a ray-tracing algorithm. 3D Isovists are created from the boundary of visible voxels from an observer position and considering as input parameters the visual angle, maximum line of sight, and eye gaze direction.