Bayesian model identification: Application to building reconstruction in aerial imagery

In this paper, we deal with building reconstruction in stereoscopic aerial imagery. We present a statistical, and competitive approach to the segmentation of roofs in pre-segmented regions. This parametric method is based on a multi-plane model, interpreted as a Bayesian mixture model. The so-called augmentation of the model with indicator variables allows the using of Bayesian sampler algorithms to achieve both the estimation of the model´s parameters and the segmentation of the selected region