An indoor navigating agent needs to efficiently understand the geometric structure of its local environment in order to act. A common scene understanding approach is to generate a set of hypotheses about the geometric structure of the indoor environment and then test the hypotheses to select the one with the highest rank, from a single image [1, 4, 5, 6] or from a continuous stream of images (e...
