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Carnegie Mellon Robotics Institute

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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.

Notes

Text Reference

David Changsoo Lee, Abhinav Gupta, Martial Hebert, and Takeo Kanade, "Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces," Advances in Neural Information Processing Systems (NIPS), Vol. 24, November, 2010

BibTeX Reference

@article{Lee_2010_6735,
   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",
   journal = "Advances in Neural Information Processing Systems (NIPS)",
   month = "November",
   year = "2010",
   volume = "24",
}

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