Learning local objective functions for robust face model fitting

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 30, Issue 8, 2008, Pages 1357-1370

  Wimmer, Matthias ^a   Stulp, Freek ^b   Pietzsch, Sylvia ^a   Radig, Bernd ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF BREMEN   (Germany)

Author keywords

Computer vision; Face and gesture recognition; Real time systems; Vision and scene understanding

Indexed keywords

IMAGE ANALYSIS;

(PL) PROPERTIES; AMOUNT OF INFORMATION; CRITICAL DECISIONS; DESIRABLE PROPERTIES; EMPIRICAL EVALUATIONS; FEATURE SELECTION (FS); FITTING ALGORITHMS; GLOBAL OPTIMUM; INTENSIVE RESEARCH; MODEL BASED (OPC); MODEL FIT; MODEL FITTING; NOVE L APPROACH; OBJECTIVE FUNCTION (OF); TRAINING DATA;

FUNCTION EVALUATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 46149121317     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.70793     Document Type: Article

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