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Generalized Range Moves by Hartley, Richard; Ajanthan, Thalaiyasingam is a scholarly article available to read on EtoBox.

What is Generalized Range Moves about?

We consider move-making algorithms for energy minimization of multi-label Markov Random Fields (MRFs). Since this is not a tractable problem in general, a commonly used heuristic is to minimize over subsets of labels and variables in an iterative procedure. Such methods include {\alpha}-expansion, {\alpha}{\beta}-swap, and range-moves. In each iteration, a small subset of variables are active in the optimization, which diminishes their effectiveness, and increases the required number of iterations. In this paper, we present a method in which optimization can be carried out over all labels, and most, or all variables at once. Experiments show substantial improvement with respect to previous move-making algorithms.

Author

Hartley, Richard; Ajanthan, Thalaiyasingam

Published

2018

Language

EN