Boosting 3-D-geometric features for efficient face recognition and gender classification

IEEE Transactions on Information Forensics and Security

Volumn 7, Issue 6, 2012, Pages 1766-1779

  Ballihi, Lahoucine ^a,b   Ben Amor, Boulbaba ^c   Daoudi, Mohamed ^c   Srivastava, Anuj ^d   Aboutajdine, Driss ^b  

^a ECOLE CENTRALE DE LILLE   (France)

^b FACULTÉ DES SCIENCES   (Morocco)

^c INSTITUT MINES TELECOM   (France)

^d FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Face recognition; facial curves; feature selection; gender classification; geodesic path; machine learning

Indexed keywords

3D FACE RECOGNITION; 3D FACES; ADABOOST ALGORITHM; DATA SETS; DATA STORAGE; DIFFERENTIAL GEOMETRY; EUCLIDEAN DISTANCE; FACE RECOGNITION RATES; FACIAL CURVES; FACIAL FEATURE; FACIAL SURFACES; FAST CLASSIFICATION; GENDER CLASSIFICATION; GEODESIC PATHS; LEVEL SET; TRANSMISSION COSTS;

ADAPTIVE BOOSTING; ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTER VISION; FEATURE EXTRACTION; GEOMETRY; LEARNING SYSTEMS; SOCIAL SCIENCES;

FACE RECOGNITION;

EID: 84870266552     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2012.2209876     Document Type: Article

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