• DOI:10.1109/ICCV.2017.587
Corpus ID: 8251044

A Discriminative View of MRF Pre-processing Algorithms

@article{Wang2017ADV,
  title={A Discriminative View of MRF Pre-processing Algorithms},
  author={Chen Wang and Charles Herrmann and R. Zabih},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={5505-5514}
}

Chen Wang, Charles Herrmann, R. Zabih

Published 2017

Computer Science

2017 IEEE International Conference on Computer Vision (ICCV)

While Markov Random Fields (MRFs) are widely used in computer vision, they present a quite challenging inference problem. MRF inference can be accelerated by preprocessing techniques like Dead End Elimination (DEE) [8] or QPBO-based approaches [18, 24, 25] which compute the optimal labeling of a subset of variables. These techniques are guaranteed to never wrongly label a variable but they often leave a large number of variables unlabeled. We address this shortcoming by interpreting pre… CONTINUE READING

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