Face recognition system using multiple face model of hybrid fourier feature under uncontrolled illumination variation

IEEE Transactions on Image Processing

Volumn 20, Issue 4, 2011, Pages 1152-1165

  Hwang, Wonjun ^a   Wang, Haitao ^b   Kim, Hyunwoo ^c   Kee, Seok Cheol ^d   Kim, Junmo ^e  

^a SAMSUNG Electronics   (South Korea)

^b Samsung Advanced Institute of Technology (SAIT)   (South Korea)

^c Seoul Media Institute of Technology   (South Korea)

^d Mando Corporation   (South Korea)

^e Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Face recognition; face recognition grand challenge; feature extraction; preprocessing; score fusion

Indexed keywords

DATA SETS; DIFFERENT FREQUENCY; ENVIRONMENTAL VARIATIONS; EXPERIMENTAL PROTOCOLS; FACE IMAGES; FACE MODELS; FACE RECOGNITION GRAND CHALLENGE; FACE RECOGNITION GRAND CHALLENGES; FACE RECOGNITION SYSTEMS; FACIAL FEATURE EXTRACTION; FACIAL IMAGES; FOURIER; FOURIER DOMAINS; ILLUMINATION CHANGES; LINEAR DISCRIMINANT ANALYSIS; LOG LIKELIHOOD RATIO; NORMALIZED GRADIENT; PRE-PROCESSING METHOD; PREPROCESSING; SCORE FUSION; UNCONTROLLED ILLUMINATION;

DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; FOURIER TRANSFORMS;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFACT; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FACE; FOURIER ANALYSIS; HISTOLOGY; HUMAN; ILLUMINATION; IMAGE ENHANCEMENT; METHODOLOGY; PHOTOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFACTS; BIOMETRY; COMPUTER SIMULATION; FACE; FOURIER ANALYSIS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIGHTING; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79953010372     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2083674     Document Type: Article

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