Date of Original Version



Conference Proceeding

Published In

Proceedings of Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS,) 2010

Abstract or Table of Contents

There has been a recent push in extraction of 3D spatial layout of scenes. However, none of these approaches model the 3D interaction between objects and the spatial layout. In this paper, we argue for a parametric representation of objects in 3D, which allows us to incorporate volumetric constraints of the physical world. We show that augmenting current structured prediction techniques with volumetric reasoning significantly improves the performance of the state-of-the-art.

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