ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume II-5/W2
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W2, 67–72, 2013
https://doi.org/10.5194/isprsannals-II-5-W2-67-2013
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W2, 67–72, 2013
https://doi.org/10.5194/isprsannals-II-5-W2-67-2013

  16 Oct 2013

16 Oct 2013

Facade Reconstruction with Generalized 2.5d Grids

J. Demantke, B. Vallet, and N. Paparoditis J. Demantke et al.
  • Université Paris Est, Laboratoire MATIS, IGN 73, avenue de Paris 94165 Saint-Mandé, Cedex

Keywords: Geometric, Surface, Modelling, Urban, Building, LIDAR

Abstract. Reconstructing fine facade geometry from MMS lidar data remains a challenge: In addition to being inherently sparse, the point cloud provided by a single street point of view is necessarily incomplete. We propose a simple framework to estimate the facade surface with a deformable 2.5d grid. Computations are performed in a "sensor-oriented" coordinate system that maximizes consistency with the data. the algorithm allows to retrieve the facade geometry without priori knowledge. It can thus be automatically applied to a large amount of data in spite of the variability of encountered architectural forms. The 2.5d image structure of the output makes it compatible with storage and real-time constraints of immersive navigation.