People Watching: Human Actions as a Cue for Single View Geometry
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 732 - 745, October, 2012
Abstract
We present an approach which exploits the coupling between human actions and scene geometry. We investigate the use of human pose as a cue for single-view 3D scene understanding. Our method builds upon recent advances in still-image pose estimation to extract functional and geometric constraints about the scene. These constraints are then used to improve state-of-the-art single-view 3D scene understanding approaches. The proposed method is validated on a collection of monocular time lapse sequences collected from YouTube and a dataset of still images of indoor scenes. We demonstrate that observing people performing different actions can significantly improve estimates of 3D scene geometry.
BibTeX
@conference{Fouhey-2012-7595,author = {David Fouhey and Vincent Delaitre and Abhinav Gupta and Alexei A. Efros and Ivan Laptev and Josef Sivic},
title = {People Watching: Human Actions as a Cue for Single View Geometry},
booktitle = {Proceedings of (ECCV) European Conference on Computer Vision},
year = {2012},
month = {October},
pages = {732 - 745},
}
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