Dynamic graph cuts for efficient inference in Markov random fields

Dynamic graph cuts for efficient inference in Markov random fields

In this paper, we present a fast new fully dynamic algorithm for the st-mincut/max-flow problem. We show how this algorithm can be used to efficiently compute MAP solutions for certain dynamically changing MRF models in computer vision such as image segmentation. Specifically, given the solution of...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	Kohli, P, Torr, PHS
Fformat:	Journal article
Iaith:	English
Cyhoeddwyd:	IEEE 2007

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