The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference

Abstract

Preliminary work by the authors made use of the so-called "Manhattan world" assumption about the scene statistics of city and indoor scenes. This assumption stated that such scenes were built on a cartesian grid which led to regularities in the image edge gradient statistics. In this paper we explore the general applicability of this assumption and show… (More)

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