Publication | Closed Access
Submodularity beyond submodular energies: Coupling edges in graph cuts
176
Citations
35
References
2011
Year
Unknown Venue
EngineeringNetwork AnalysisEducationGraph ProcessingImage AnalysisData ScienceGraph CutStructural Graph TheoryDiscrete MathematicsCombinatorial OptimizationComputational GeometryEdge DetectionMachine VisionInternal SubmodularityComputer ScienceMedical Image ComputingComputer VisionNew FamilyNetwork ScienceGraph TheoryScene UnderstandingSeam CarvingSubmodular EnergiesExtremal Graph TheoryGraph AnalysisImage Segmentation
We propose a new family of non-submodular global energy functions that still use submodularity internally to couple edges in a graph cut. We show it is possible to develop an efficient approximation algorithm that, thanks to the internal submodularity, can use standard graph cuts as a subroutine. We demonstrate the advantages of edge coupling in a natural setting, namely image segmentation. In particular, for fine-structured objects and objects with shading variation, our structured edge coupling leads to significant improvements over standard approaches.
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