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Efficient computation of MRF for low-level vision problems

Sun, Jun


Low-level computer vision problems, such as image restoration, stereo matching and image segmentation, have been given sufficient attention by computer vision researchers. These problems, though appear to be distinct, share a common structure: given the observed image data, estimating an hidden label at each pixel position. Due to this similarity, one effective solution is to deal with the low-level vision problems by a unified approach: Markov Random Fields (MRFs) framework, which includes...[Show more]

CollectionsOpen Access Theses
Date published: 2012
Type: Thesis (MPhil)
DOI: 10.25911/5d5150552f73f


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