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People Watching: Human Actions as a Cue for Single View Geometry

Abstract : We present an approach which exploits the coupling between human actions and scene geometry to use 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 on the scene. These constraints are then used to improve single-view 3D scene understanding approaches. The proposed method is validated on monocular time-lapse sequences from YouTube and still images of indoor scenes gathered from the Internet. We demonstrate that observing people performing different actions can significantly improve estimates of 3D scene geometry.
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Submitted on : Friday, September 19, 2014 - 2:28:58 PM
Last modification on : Thursday, March 17, 2022 - 10:08:39 AM
Long-term archiving on: : Friday, April 14, 2017 - 12:57:31 PM


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  • HAL Id : hal-01066257, version 1



David Fouhey, V. Delaitre, Abhinav Gupta, Alexei Efros, Ivan Laptev, et al.. People Watching: Human Actions as a Cue for Single View Geometry. International Journal of Computer Vision, Springer Verlag, 2014, pp.17. ⟨hal-01066257⟩



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