The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 115–120, 2014
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 115–120, 2014

  11 Aug 2014

11 Aug 2014

Automatic modelling of building façade objects via primitive shapes

N. Hetti Arachchige1,2 and S. Perera1 N. Hetti Arachchige and S. Perera
  • 1Institute of Photogrammetry and Remote Sensing, Dresden University of Technology, Helmholtz Straße 10, 01069 Dresden, Germany
  • 2Faculty of Geomatics, Sabaragamuwa University of Sri Lanka, Sri Lanka

Keywords: Detection, Mobile Laser Scanners, Point clouds, Geometric Feature, Urban Trees, Principal direction

Abstract. This paper presents a new approach to recognize individual façade objects and to reconstruct such objects in 3D using MLS point clouds. Core of the approach is a primitive shape based algorithm, which introduces building primitives, to identify the façade objects separately from other irrelevant objects and then to model the correct topology. The primitive shape is identified against defined different primitive shapes by using the Douglas-Peucker algorithm. The advantage of this process is that it offers an ability not only to model correct geometric shapes but also to remove occlusion effects from the final model. To evaluate the validity of the proposed approach, experiments have been conducted using two types of street scene point clouds captured by Optech Lynx Mobile Mapper System and Z+F laser scanner. Results of the experiments show that the completeness, correctness, and quality of the reconstructed building façade objects are well over 90 %, proving the proposed method is a promising solution for modelling 3D façade objects with different geometric shapes.