TriangleFlow: Optical flow with triangulation-based higher-order likelihoods

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

Volumn 6313 LNCS, Issue PART 3, 2010, Pages 272-285

  Glocker, Ben ^a   Heibel, T Hauke ^a   Navab, Nassir ^a   Kohli, Pushmeet ^b   Rother, Carsten ^b  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE SEGMENTATION; MOTION ESTIMATION; RANDOM PROCESSES; TRIANGULATION;

ADAPTIVE MESH REFINEMENT; CONDITIONAL RANDOM FIELD; HIERARCHICAL FUSIONS; HIGHER ORDER POTENTIALS; LIKELIHOOD FUNCTIONS; REGION-BASED METHODS; TRIANGULATION MESH; TRIANGULATION-BASED;

OPTICAL FLOWS;

EID: 78149335997     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15558-1_20     Document Type: Conference Paper

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