A probabilistic approach to optical flow based super-resolution

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2004-January, Issue January, 2004, Pages

  Fransens, Rik ^a   Strecha, Christoph ^a   Van Gool, Luc ^a,b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; FLOW FIELDS; INPUT OUTPUT PROGRAMS; OPTICAL RESOLVING POWER;

DENSE OPTICAL FLOW; FLOW BASED; INPUT DATAS; INPUT IMAGE; INVERSION PROCESS; LOW RESOLUTION IMAGES; MOTION FIELDS; PROBABILISTICS APPROACH; RESOLUTION IMAGES; SUPERRESOLUTION;

OPTICAL FLOWS;

EID: 84932637739     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2004.287     Document Type: Conference Paper

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