Combining the advantages of local and global optic flow methods

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

Volumn 2449 LNCS, Issue , 2002, Pages 454-462

  Bruhn, Andres ^a   Weickert, Joachim ^a   Schnorr, Christoph ^b  

^a SAARLAND UNIVERSITY   (Germany)

^b UNIVERSITY OF MANNHEIM   (Germany)

Author keywords

Differential techniques; Partial differential equations; Structure tensor; Variational methods; Visual motion

Indexed keywords

FLOW FIELDS; PARTIAL DIFFERENTIAL EQUATIONS; PATTERN RECOGNITION; TENSORS; VARIATIONAL TECHNIQUES; IMAGE PROCESSING;

DIFFERENTIAL METHODS; DIFFERENTIAL TECHNIQUE; GLOBAL APPROACHES; OPTIC FLOW COMPUTATION; SMOOTHING PROCESS; STRUCTURE TENSORS; VARIATIONAL METHODS; VISUAL MOTION;

OPTICAL FLOWS; PATTERN RECOGNITION;

EID: 84878574489     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45783-6_55     Document Type: Conference Paper

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