Skip navigation
Skip navigation

Efficient computation of MRF for low-level vision problems

Sun, Jun

Description

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)
URI: http://hdl.handle.net/1885/156022
DOI: 10.25911/5d5150552f73f

Download

File Description SizeFormat Image
b30870264-Sun_J.pdf185.61 MBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  22 January 2019/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator