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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| Hauptverfasser: | , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
[2016]
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| In: |
Computer vision and image understanding
Year: 2015, Jahrgang: 143, Pages: 104-119 |
| ISSN: | 1090-235X |
| DOI: | 10.1016/j.cviu.2015.11.005 |
| Online-Zugang: | 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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| Verfasserangaben: | Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr |
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