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Title:

Label Configuration Priors for Continuous Multi-Label Optimization

Author(s):
Mohamed Souiai, Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers
Abstract:
We propose a general class of label configuration priors for continuous multi-label optimization problems. In contrast to MRF-based approaches, the proposed framework unifies label configuration energies such as minimum description length priors, co-occurrence priors and hierarchical label cost priors. Moreover, it does not require any preprocessing in terms of super-pixel estimation. All problems are solved using efficient primal-dual algorithms which scale better with the...     »
Keywords:
Multi Label Segmentation, Convex Relaxation, Co-Occurrence, Higher Order Priors, Convex Optimization
Year:
2012
Language:
en
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