Efficient computation of MRF for low-level vision problems
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]
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