Higher-order segmentation via multicuts

Multicuts enable to conveniently represent discrete graphical models for unsupervised and supervised image segmentation, in the case of local energy functions that exhibit symmetries. The basic Potts model and natural extensions thereof to higher-order models provide a prominent class of such object...

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Bibliographic Details
Main Authors: Kappes, Jörg Hendrik (Author) , Speth, Markus (Author) , Reinelt, Gerhard (Author) , Schnörr, Christoph (Author)
Format: Article (Journal)
Language:English
Published: [2016]
In: Computer vision and image understanding
Year: 2015, Volume: 143, Pages: 104-119
ISSN:1090-235X
DOI:10.1016/j.cviu.2015.11.005
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.cviu.2015.11.005
Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S1077314215002490
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Author Notes:Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr
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Higher-order segmentation via multicuts


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