Stochastic uncertainty models for the luminance consistency assumption

IEEE Transactions on Image Processing

Volumn 21, Issue 2, 2012, Pages 481-493

  Corpetti, Thomas ^a   Memin, Etienne ^b  

^a INSTITUTE OF AUTOMATION   (China)

^b INRIA   (France)

Author keywords

Image motion analysis; image quality; image sampling; stochastic processes

Indexed keywords

COMPUTER VISION PROBLEMS; CONSTRAINT EQUATION; CONTINUOUS FUNCTIONS; DIFFERENTIAL FORMS; DISCRETE TIME; DISCRETIZATION PROCESS; DYNAMIC SCENES; IMAGE DATA; IMAGE GRIDS; IMAGE LUMINANCE; IMAGE MOTION ANALYSIS; IMAGE SAMPLING; INTENSITY-BASED; LEAST SQUARE; LUMINANCE FUNCTION; MOTION ESTIMATES; MOTION ESTIMATOR; POINT TRACKING; STOCHASTIC CALCULUS; STOCHASTIC EVOLUTION; STOCHASTIC FORMULATION; STOCHASTIC PROCESS; STOCHASTIC UNCERTAINTIES; TEMPORAL GRADIENTS;

COMPUTER VISION; DIFFERENTIAL EQUATIONS; ESTIMATION; IMAGE QUALITY; LUMINANCE; MOTION ESTIMATION; OPTICAL FLOWS; RANDOM PROCESSES; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

STOCHASTIC MODELS;

EID: 84856243972     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2162742     Document Type: Article

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