Localization and Generation of Building Models

This paper presents a knowledge based approach for 3D reconstruction of buildings from aerial images. The aerial images are combined with information from 2D GIS database and specific knowledge of the buildings. This paper describes the generation of building hypotheses in case of large variations in the terrain height. First the possible locations of a building in the images are determined by using the ground plans of the building defined in the map and lines extracted from images. These possible locations are verified by the 3D building model generation process. The generated building hypotheses are improved by fitting them to the image data. An evaluation function based on information theory principles is used to select the best model. Experiments are presented that demonstrate the approach by reconstructing 3D building models.