title: Structural approach for building reconstruction from a single DSM.
abstract: We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban structures extracted from a library of 3D parametric blocks (like a LEGO set). 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 which controls both the block assemblage and the fitting to data. A Bayesian decision finds the optimal configuration of 3D-blocks using a Markov Chain Monte Carlo sampler associated with original proposition kernels. This method has been validated on multiple data set in a wide-resolution interval such as 0.7 m satellite and 0.1 m aerial DSMs, and provides 3D representations on complex buildings and dense urban areas with various levels of detail.
authors.affiliation: Ariana Research Group, INRIA and Matis Laboratory, French Mapping Agency, Sophia Antipolis, France. florent.lafarge@inria.fr
authors.forename: Florent
authors.initials: F
authors.lastname: Lafarge
authors.forename: Xavier
authors.initials: X
authors.lastname: Descombes
authors.forename: Josiane
authors.initials: J
authors.lastname: Zerubia
authors.forename: Marc
authors.initials: M
authors.lastname: Pierrot-Deseilligny