2017 · 18 citations · 16 references
Natural SciencesMathematicsBiomedical ImagingDiscrete MathematicsOptimizationApproximation AlgorithmsConvex AnalysisConvex OptimizationDiscrete OptimizationNumerical AlgorithmsNumerical AnalysisConvex FunctionsConvex RelaxationsDiscretizationLabelsNonconvex OptimizationNumerical DiscretizationRelaxation TheoryTotal Variation Minimization
In this work we show how sublabel-accurate multilabeling approaches [15, 18] can be derived by approximating a classical label-continuous convex relaxation of nonconvex free-discontinuity problems. This insight allows to extend these sublabel-accurate approaches from total variation to general convex and nonconvex regularizations. Furthermore, it leads to a systematic approach to the discretization of continuous convex relaxations. We study the relationship to existing discretizations and to discrete-continuous MRFs. Finally, we apply the proposed approach to obtain a sublabel-accurate and convex solution to the vectorial Mumford-Shah functional and show in several experiments that it leads to more precise solutions using fewer labels.
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Jerrold E. Marsden, Anil N. Hirani · arXiv (Cornell University) · 2003 · 497 citations · Full text
A Convex Approach to Minimal Partitions
Antonin Chambolle, Daniel Cremers, Thomas Pock · SIAM Journal on Imaging Sciences · 2012 · 170 citations
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Thomas Pock, Daniel Cremers, Horst Bischof et al. · SIAM Journal on Imaging Sciences · 2010 · 160 citations