A novel approach using PCA and SVM for face detection

Proceedings - 4th International Conference on Natural Computation, ICNC 2008

Volumn 3, Issue , 2008, Pages 29-33

  Zhang, Jing ^a,b   Zhang, Xue Dong ^a   Ha, Seok Wun ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Gyeongsang National University   (South Korea)

Author keywords

Face potential area; Histogram distribution; PCA; SVM

Indexed keywords

CLASSIFIERS; DATABASE SYSTEMS; LEARNING SYSTEMS; MACHINE COMPONENTS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES; VECTORS;

CLASSIFICATION TASKS; DETECTION RATES; EFFICIENT METHODS; FACE DETECTION AND RECOGNITIONS; FACE DETECTIONS; FACE FEATURES; FACE POTENTIAL AREA; FEATURE VECTORS; HISTOGRAM DISTRIBUTION; INFORMATION ACCESSES; LOCAL HISTOGRAMS; PCA; PCA TRANSFORMS; PRINCIPAL COMPONENTS ANALYSES; SAMPLE DATUMS; STATISTICAL FEATURES; SVM; SVM CLASSIFIERS; TEST IMAGES;

FACE RECOGNITION;

EID: 57649122082     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.257     Document Type: Conference Paper

References (7)

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