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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. 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.
Cited literature [39 references]
https://hal.inria.fr/hal-01060874
Contributor : Vincent Delaitre Connect in order to contact the contributor
Submitted on : Thursday, September 4, 2014 - 2:24:01 PM
Last modification on : Thursday, March 17, 2022 - 10:08:39 AM
Long-term archiving on: : Friday, December 5, 2014 - 10:28:10 AM
Contributor : Vincent Delaitre Connect in order to contact the contributor
Submitted on : Thursday, September 4, 2014 - 2:24:01 PM
Last modification on : Thursday, March 17, 2022 - 10:08:39 AM
Long-term archiving on: : Friday, December 5, 2014 - 10:28:10 AM
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fouhey_ECCV12.pdf
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