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.
For an up-to-date and more comprehensive study see:
- A comparative study of modern inference techniques for discrete energy minimization problems by Kappes, Andres, et al., CVPR 2013.
- OpenGM2, the corresponding benchmark and code
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.