PCA based face recognition and testing criteria

Proceedings of the 2009 International Conference on Machine Learning and Cybernetics

Volumn 5, Issue , 2009, Pages 2945-2949

  Poon, Bruce ^a   Amin, M Ashraful ^b   Yan, Hong ^a,b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Covariance matrix; Eigen face; Face recognition; Performance evaluation; Principle component analysis (PCA)

Indexed keywords

ALIGNED IMAGES; EIGEN FACE; FACE RECOGNITION RATES; FACE RECOGNITION SYSTEMS; IMAGE SIZES; MINIMAL EFFECTS; NUMBER OF SAMPLES; PERFORMANCE EVALUATION; PRINCIPLE COMPONENT ANALYSIS (PCA); RECOGNITION ACCURACY; RECOGNITION RATES; TEST DATA; TESTING CRITERIA;

CONTROL THEORY; COVARIANCE MATRIX; CYBERNETICS; ROBOT LEARNING; TEST FACILITIES;

FACE RECOGNITION;

EID: 70350733790     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2009.5212591     Document Type: Conference Paper

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