isprsannals II 3 W3 13 2013
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Specifically, a 3D model is computed from the overlapping views, and the model is segmented into semantic labels using height information, color and planar qualities.. 2D detector
In this paper two different ways to refine the selection of façade planes are considered: (i) the point cloud is co-registered to an existing city model, which is used
In this paper we have presented an automatic (parametric) approach for robust façade reconstruction using TomoSAR point clouds for large areas. The approach
We extract the regions that might belong to road segments from the class others and utilize that information to initialize a final graph optimization performed with five
The achieved results show the off-ground region (Figure 5b), the roof region exploiting the spectral information (Figure 5c) and the final classification (Figure
The original images with the input Stixels (left), the 2D mapping results overlaid on Google Earth images (center) and the 3D representation (right) using the OctoMap representation
Then, LIDAR points that are close to the street slice (closer than 20 cm here) in the top view are kept to approximate the local surface. Points used to approximate the road are
In this paper we develop and compare two methods for scene classification in 3D object space, that is, not single image pixels get classified, but voxels which carry geometric,
