Learning the Depths of Moving People by Watching Frozen People

CVPR, 2019.

Cited by: 85|Views114
EI

Abstract:

We present a method for predicting dense depth in scenarios where both a monocular camera and people in the scene are freely moving. Existing methods for recovering depth for dynamic, non-rigid objects from monocular video impose strong assumptions on the objectsu0027 motion and may only recover sparse depth. In this paper, we take a data...More

Code:

Data:

Your rating :
0

 

Tags
Comments