A maximum likelihood estimator for choosing the regularization parameters in global optical flow methods

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 1081-1084

  Krajsek, Kai ^a   Mester, Rudolf ^a  

^a GOETHE UNIVERSITY   (Germany)

Author keywords

Motion analysis; Parameter estimation

Indexed keywords

BAYESIAN FRAMEWORKS; HYPER-PARAMETERS; MAXIMUM A POSTERIORI; MAXIMUM LIKELIHOOD ESTIMATOR; MOTION ANALYSIS; OPTICAL FLOW ESTIMATION; OPTICAL FLOW METHODS; OPTIMIZATION TECHNIQUES; PHYSICAL MEANINGS; PRIOR KNOWLEDGE; REGULARIZATION PARAMETERS; VARIATIONAL APPROACHES; VARIATIONAL CALCULUS;

IMAGING SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; MOBILE TELECOMMUNICATION SYSTEMS; MOTION ESTIMATION; OPTICAL DATA PROCESSING; OPTICAL FLOWS; PARAMETERIZATION; VARIATIONAL TECHNIQUES;

PARAMETER ESTIMATION;

EID: 47349101524     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312743     Document Type: Conference Paper

References (10)

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