Abstract : We present a new approach for building reconstruction from a single Digital Elevation Model (DEM). It treats buildings as an assemblage of simple urban structures extracted from a library of 3D parametric blocks (like a LEGO set). This method works on various data resolutions such as 0.7 m satellite and 0.1 m aerial DEMs and allows us to obtain 3D representations with various levels of detail. First, the 2D supports of the urban structures are extracted either interactively or automatically. Then, 3D blocks are placed on the 2D supports using a Gibbs model. A Bayesian decision finds the optimal configuration of 3D blocks using a RJMCMC sampler. Experimental results on complex buildings and dense urban areas are presented using data at various resolutions
https://hal.inria.fr/hal-00781733
Contributeur : Florent Lafarge <>
Soumis le : lundi 28 janvier 2013 - 11:43:40
Dernière modification le : jeudi 9 février 2017 - 15:48:28
Document(s) archivé(s) le : lundi 17 juin 2013 - 16:04:07
Florent Lafarge, Xavier Descombes, Josiane Zerubia, Marc Pierrot-Deseilligny. Building reconstruction from a single DEM. Computer Vision and Pattern Recognition (CVPR), Jun 2008, Anchorage, United States. 2008. <hal-00781733>
