Volume XL-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5, 203-209, 2014
https://doi.org/10.5194/isprsarchives-XL-5-203-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5, 203-209, 2014
https://doi.org/10.5194/isprsarchives-XL-5-203-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  06 Jun 2014

06 Jun 2014

Door recognition in cluttered building interiors using imagery and lidar data

L. Díaz-Vilariño1, J. Martínez-Sánchez1, S. Lagüela1, J. Armesto1, and K. Khoshelham2 L. Díaz-Vilariño et al.
  • 1Applied Geotechnologies Research Group, University of Vigo, ETSE Minas, 36310 Vigo, Spain
  • 2Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede 7514 AE, the Netherlands

Keywords: 3D modelling, feature extraction, imagery, terrestrial laser scanning

Abstract. Building indoors reconstruction is an active research topic due to the importance of the wide range of applications to which they can be subjected, from architecture and furniture design, to movies and video games editing, or even crime scene investigation. Among the constructive elements defining the inside of a building, doors are important entities in applications like routing and navigation, and their automated recognition is advantageous e.g. in case of large multi-storey buildings with many office rooms. The inherent complexity of the automation of the recognition process is increased by the presence of clutter and occlusions, difficult to avoid in indoor scenes. In this work, we present a pipeline of techniques used for the reconstruction and interpretation of building interiors using information acquired in the form of point clouds and images. The methodology goes in depth with door detection and labelling as either opened, closed or furniture (false positive)