3D reconstruction of generic house roofs from aerial images of urban areas

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Abstract
A method is presented to automatically generate 3D models of house roofs from aerial images of residential areas in urban sites. First, homogeneous regions with consistent photometric and chromatic triangulation network. Stereo matching of straight line segments is performed between corresponding regions only. Line segments that are matched across at lest three views are reconstructed by a bundle adjustment procedure. The reconstructed line segments are hypothesis is subjected to a consistency verification with respect to the 3D reconstruction and the original image data, and, if necessary, corrected accordingly. Observe that the combinatorics is kept under control by processing one region at the time. In a next stage, the polygons are glued together into a roof model. The emphasis here is on extracting the correct topology of the roof structure. Metric accuracy of the reconstruction is obtained in an additional step by backprojecting the recovered model of the roof structure onto the images and minimizing the total reprojection error. The viability of this approach has been tested on a state-of-the-art dataset or aerial images of residential areas in Brussels.

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