Active shape models with invariant optimal features: Application to facial analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 29, Issue 7, 2007, Pages 1105-1117

  Sukno, Federico M ^a   Ordás, Sebastián ^a   Butakoff, Constantine ^a   Cruz, Santiago ^b   Frangi, Alejandro F ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

Face and gesture recognition; Feature evaluation and selection; Invariants; Shape model; Statistical image analysis

Indexed keywords

COMPUTER SIMULATION; FACE RECOGNITION; FEATURE EXTRACTION; GESTURE RECOGNITION; IMAGE SEGMENTATION; OPTIMIZATION; STATISTICAL METHODS;

ACTIVE SHAPE MODEL; FEATURE EVALUATION; INVARIANTS; STATISTICAL IMAGE ANALYSIS;

IMAGE ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

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

EID: 34249683911     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.1041     Document Type: Article

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