Estimating Spatial Layout of Rooms Using Volumetric Reasoning About Objects and Surfaces
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.
Cite
Text
Gupta et al. "Estimating Spatial Layout of Rooms Using Volumetric Reasoning About Objects and Surfaces." Neural Information Processing Systems, 2010.Markdown
[Gupta et al. "Estimating Spatial Layout of Rooms Using Volumetric Reasoning About Objects and Surfaces." Neural Information Processing Systems, 2010.](https://mlanthology.org/neurips/2010/gupta2010neurips-estimating/)BibTeX
@inproceedings{gupta2010neurips-estimating,
title = {{Estimating Spatial Layout of Rooms Using Volumetric Reasoning About Objects and Surfaces}},
author = {Gupta, Abhinav and Hebert, Martial and Kanade, Takeo and Blei, David M.},
booktitle = {Neural Information Processing Systems},
year = {2010},
pages = {1288-1296},
url = {https://mlanthology.org/neurips/2010/gupta2010neurips-estimating/}
}