FAÇADE RECONSTRUCTION USING GEOMETRIC AND RADIOMETRIC POINT CLOUD INFORMATION

This paper aims at facade reconstruction for subsequent enrichment of LOD2 building models. We use point clouds from dense image matching with imagery both from Mobile Mapping systems and oblique airborne cameras. The interpretation of facade structures is based on a geometric reconstruction. For this purpose a pre-segmentation of the point cloud into facade points and non-facade points is necessary. We present an approach for point clouds with limited geometric accuracy where a geometric segmentation might fail. Our contribution is a radiometric segmentation approach. Via local point features, based on a clustering in hue space, the point cloud is segmented into facade-points and non-facade points. This way, the initial geometric reconstruction step can be bypassed and point clouds with limited accuracy can still serve as input for the facade reconstruction and modelling approach.

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