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A learning framework for higher-order consistency models in multi-class pixel labeling problems

Park, Kyoungup

Description

Recently, higher-order Markov random field (MRF) models have been successfully applied to problems in computer vision, especially scene understanding problems. One successful higher-order MRF model for scene understanding is the consistency model [Kohli and Kumar, 2010; Kohli et al., 2009] and earlier work by Ladicky et al. [2009, 2013] which contain higher-order potentials composed of lower linear envelope functions. In semantic image segmentation problems, which seek to identify the...[Show more]

CollectionsOpen Access Theses
Date published: 2014-12
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/12686

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