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dc.contributor.authorKordelas, GAen_US
dc.contributor.authorAlexiadis, DSen_US
dc.contributor.authorDaras, Pen_US
dc.contributor.authorIzquierdo, Een_US
dc.date.accessioned2016-04-21T12:46:00Z
dc.date.issued2016-02en_US
dc.date.submitted2016-03-21T18:50:58.590Z
dc.identifier.issn1520-9210en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/11941
dc.format.extent155 - 170en_US
dc.relation.ispartofIEEE TRANSACTIONS ON MULTIMEDIAen_US
dc.rights“The final publication is available at http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7347423”
dc.subjectDisparity estimationen_US
dc.subjectdisparity refinementen_US
dc.subjectguided image filteren_US
dc.subjectoutliers handlingen_US
dc.subjectsemi-global optimizationen_US
dc.subjectstereo matchingen_US
dc.subjectstereo visionen_US
dc.titleContent-Based Guided Image Filtering, Weighted Semi-Global Optimization, and Efficient Disparity Refinement for Fast and Accurate Disparity Estimationen_US
dc.typeArticle
dc.rights.holder© Copyright 2018 IEEE
dc.identifier.doi10.1109/TMM.2015.2505905en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000368402400002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue2en_US
pubs.notesNot knownen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - S&E - EECS UoA12
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 11
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 12
pubs.publication-statusPublisheden_US
pubs.volume18en_US
qmul.funderLarge Scale Information Exploitation of Forensic Data (LASIE)::European Commissionen_US


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