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Sublabel-Accurate Relaxation of Nonconvex Energies

Presented by: 
Michael Moeller
Thursday 7th September 2017 - 14:00 to 14:50
INI Seminar Room 1
In this talk I will present a convex relaxation technique for a particular class of energy functionals consisting of a pointwise nonconvex data term and a total variation regularization as frequently used in image processing and computer vision problems. The method is based on the technique of functional lifting in which the minimization problem is reformulated in a higher dimensional space in order to obtain a tighter approximation of the original nonconvex energy. 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons