Structural Approach for Building Reconstruction from a Single DSM

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 R 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.

• Type: Journal
• Year: 2010
• Where: PAMI
• Authors: Florent Lafarge, Xavier Descombes, Josiane Zerubia, Marc Pierrot Deseilligny
• Keywords: Intelligent Agents, Markov Chain Monte Carlo, PAMI 2010, Simple Urban Structures, Urban Structures