Scene flow by tracking in intensity and depth data

By Julian Quiroga, Frederic Devernay, James L. Crowley. 2012

32 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Thomas Brox
2. Eddy Ilg
3. Andrea Vedaldi
4. Luc Van Gool
5. Vladlen Koltun
6. Jitendra Malik
7. Cordelia Schmid
8. Andreas Geiger

Citations in the corpus

• A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation (2015, background): “[17] extended the regularizer further to a smooth field of rigid motion.”
• Dense Semi-rigid Scene Flow Estimation from RGBD Images (2014, methodology): “As done in [12], we define a warping function to couple the twist motion and the optical flow.”