Optical flow estimation with channel constancy

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8689 LNCS, Issue PART 1, 2014, Pages 423-438

  Sevilla Lara, Laura ^a   Sun, Deqing ^b   Learned Miller, Erik G ^a   Black, Michael J ^c  

^a University of Massachusetts Amherst   (United States)

^b HARVARD UNIVERSITY   (United States)

^c MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

Author keywords

channel representation; large motions; Optical flow; pyramids

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION;

BRIGHTNESS CONSTANCIES; CHANNEL REPRESENTATION; LARGE DISPLACEMENTS; LARGE MOTIONS; MULTI RESOLUTION REPRESENTATION; OPTICAL FLOW ALGORITHM; OPTICAL FLOW ESTIMATION; PYRAMIDS;

OPTICAL FLOWS;

EID: 84906501874     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10590-1_28     Document Type: Conference Paper

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