Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 1288 - 1296, December, 2010
Abstract
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.
BibTeX
@conference{Lee-2010-10570,author = {David Changsoo Lee and Abhinav Gupta and Martial Hebert and Takeo Kanade},
title = {Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces},
booktitle = {Proceedings of (NeurIPS) Neural Information Processing Systems},
year = {2010},
month = {December},
pages = {1288 - 1296},
}
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