Amélioration d'une base de données d'empreintes de bâtiments pour la reconstruction 3D: Une approche par découpe et fusion

In the context of 3D reconstruction of wide urban areas, the use of building footprints has shown to be of great help to achieve both robustness and precision. These footprints however often present inconsistencies with the data (more than one building in the footprint, inner courts, superstructures.) This paper presents a fast and efficient algorithm to enhance the building footprint database in order to make subsequent 3D reconstructions easier, more accurate and more robust. It is based on a segmentation energy that is minimized by a split and merge approach. The algorithm is demonstrated on a wide urban area of one square kilometer.