Reconstruction of buildings from multiple high resolution images

This paper presents an algorithm to reconstruct buildings in an urban scene from a large number of aerial images. We start with a digital elevation model (DEM) obtained with our multiple baseline stereomatching method. This algorithm is very efficient in removing matching ambiguities and in improving the precision of the elevation estimates. The approach to building reconstruction is based on a segmentation of the DEM into homogeneous regions and a classification of these regions to separate the buildings from the ground. In addition, a second stage extrapolate missing data and performs surface reconstruction. To demonstrate the performance of the algorithm, we present results using several aerial images