ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W2, 67-72, 2013
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/67/2013/
doi:10.5194/isprsannals-II-5-W2-67-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
16 Oct 2013
Facade Reconstruction with Generalized 2.5d Grids
J. Demantke, B. Vallet, and N. Paparoditis 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.
Conference paper (PDF, 4324 KB)


Citation: Demantke, J., Vallet, B., and Paparoditis, N.: Facade Reconstruction with Generalized 2.5d Grids, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W2, 67-72, doi:10.5194/isprsannals-II-5-W2-67-2013, 2013.

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