ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3, 1-8, 2014
https://doi.org/10.5194/isprsannals-II-3-1-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
07 Aug 2014
Automatic Detection and Feature Estimation of Windows for Refining Building Facades in 3D Urban Point Clouds
A.K Aijazi1,2, P. Checchin1,2, and L. Trassoudaine1,2 1INSTITUT PASCAL, Université Blaise Pascal, Clermont Université, BP 10448, 63000 Clermont-Ferrand, France
2INSTITUT PASCAL, CNRS, UMR 6602, 63171 Aubière, France
Keywords: 3D LiDAR point clouds, Automatic window detection, 3D urban cartography Abstract. This paper presents a method that automatically detects windows of different shapes, in 3D LiDAR point clouds obtained from mobile terrestrial data acquisition systems in the urban environment. The proposed method first segments out 3D points belonging to the building façade from the 3D urban point cloud and then projects them onto a 2D plane parallel to the building façade. After point inversion within a watertight boundary, windows are segmented out based on geometrical information. The window features/parameters are then estimated exploiting both symmetrically corresponding windows in the façade as well as temporally corresponding windows in successive passages, based on analysis of variance measurements. This unique fusion of information not only accommodates for lack of symmetry but also helps complete missing features due to occlusions. The estimated windows are then used to refine the 3D point cloud of the building façade. The results, evaluated on real data using different standard evaluation metrics, demonstrate the efficacy as well as the technical prowess of the method.
Conference paper (PDF, 4846 KB)


Citation: Aijazi, A. K., Checchin, P., and Trassoudaine, L.: Automatic Detection and Feature Estimation of Windows for Refining Building Facades in 3D Urban Point Clouds, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3, 1-8, https://doi.org/10.5194/isprsannals-II-3-1-2014, 2014.

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