Model Selection for Automated architectural Reconstruction from Multiple Views

We describe progress in automatically fitting a plane plus modelled perturba-tion surface model to represent architectural scenes. There are two areas of novelty. The first is a method of fitting parametrized models in which the cost function is based on a combination of disparity and gradient extrema, both computed over multiple views. The second is the use of an evaluation crite-ria for model selection, learnt from training examples. We demonstrate the method on reconstructions of several college scenes from multiple images.