Tensor-based AAM with continuous variation estimation: Application to variation-robust face recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 6, 2009, Pages 1102-1116

  Lee, Hyung Soo ^a   Kim, Daijin ^b  

^a Olaworks Inc   (South Korea)

^b Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

AAM; Indirect AAM feature transformation; Multilinear analysis; Tensor algebra; Variation robust face recognition

Indexed keywords

AAM; INDIRECT AAM FEATURE TRANSFORMATION; MULTILINEAR ANALYSIS; TENSOR ALGEBRA; VARIATION-ROBUST FACE RECOGNITION;

ALGEBRA; ESTIMATION; IMAGE SEGMENTATION; TENSORS;

FACE RECOGNITION;

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

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

EID: 65549084966     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.286     Document Type: Article

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