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Face detection from cluttered images is very challenging due to the diverse variation of face appearance and the complexity of image background. In this paper, we propose a neural network based approach for locating frontal views of human faces in cluttered images. We use a radial basis function network (RBFN) for separation of face and non-face patterns and the complexity of RBFN is reduced by principal component analysis (PCA). The influence of the number of hidden units and the configurationdoi:10.1109/icpr.2002.1048309 dblp:conf/icpr/HuangSK02 fatcat:xuvpbbbhxjbcrceybb5hngx5ru