Optimization of a training set for more robust face detection

Pattern Recognition

Volumn 42, Issue 11, 2009, Pages 2828-2840

  Chen, Jie ^a   Chen, Xilin ^b   Yang, Jie ^c   Shan, Shiguang ^b   Wang, Ruiping ^b   Gao, Wen ^a,b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^c Carnegie Mellon University   (United States)

Author keywords

Face detection; Genetic algorithm; Manifold; Resampling

Indexed keywords

DECISION BOUNDARY; DYNAMIC OPTIMIZATION; FACE DETECTION; FACE DETECTOR; FALSE ALARMS; FEATURE SPACE; FRONTAL FACES; HIGH DIMENSIONALITY; LEARNING-BASED METHODS; MANIFOLD; MANIFOLD-BASED METHOD; NON-LINEARITY; OBJECT DETECTION SYSTEMS; OPTIMAL TRAINING; RESAMPLE; RESAMPLING; TEST SETS; TRAINING SAMPLE; TRAINING SETS;

ALARM SYSTEMS; DETECTORS; EDUCATION; FACE RECOGNITION; GENETIC ALGORITHMS; OPTIMIZATION;

SET THEORY;

EID: 67649406059     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.02.006     Document Type: Article

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