vision.middlebury.edu
stereomviewMRFflowcolor
Optical Flow EvaluationDatasetsSubmit 

Simon BakerDaniel ScharsteinJP LewisStefan RothMichael BlackRichard Szeliski

This website accompanies our paper

A Database and Evaluation Methodology for Optical Flow
 
Microsoft Research Technical Report MSR-TR-2009-179
submitted to the International Journal of Computer Vision

Our work was first presented at ICCV 2007, where we evaluated a small set of algorithms on a preliminary dataset. Since then, we have created a new collection of optical flow datasets with ground truth. They are divided into an evaluation (test) set, used for the official evaluation, and an "other" (training) set. We only give out the ground truth for the latter.

If you are interested in participating in the evaluation, please follow the instructions on how to submit.

 

 

 

 

 

Support for this work was provided in part by NSF grant IIS-0413169. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. Support for this work was also provided in part by Microsoft Corporation.

 

 

 

 

 

 

 

 

 

 

Last modified: December 29 2009 by Daniel Scharstein