Variational Building Modeling from Urban MVS Meshes

In this paper, we introduce a method for building LOD (levels of detail) modeling from urban multi-view stereo (MVS) meshes. Using city MVS meshes as input, our algorithm proceeds in three main steps: segmentation, contour extraction and modeling. With the prior knowledge and span constraint, we first segment the scene with an adapted variational measure to discover the underlying structures. The next contour extraction step projects the vertical structures onto the ground as line segments and extract the facade contours from them with a Markov random field. In the last modeling step, the contours are used to label the roof sections out and extruded to generate models of LODs with semantics. Experiments on complex and noisy urban meshes show that our approach could generate compact and accurate building models when compared with stateof- art methods.