vision.middlebury.edu
stereomviewMRFflowcolor
MRF Minimization ResultsCode 

Richard SzeliskiRamin ZabihDaniel ScharsteinOlga Veksler
Vladimir KolmogorovAseem AgarwalaMarshall TappenCarsten Rother

This site contains the results (plots and images) and code accompanying our paper

A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors,
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 30(6):1068-1080, June 2008.

The first version, corresponding to our ECCV 06 paper, is still available here.

 

 


For an up-to-date and more comprehensive study see:

 

 

 

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.

 

 

 

 

 

 

 

 

 

 

Last modified: June 30 2013 by Daniel Scharstein