PCA applied to neural internal representation of input data - application to face recognition
International Symposium on VIPromCom Video/Image Processing and Multimedia Communications - Trang 65-68
Tóm tắt
An original method of feature extraction from image data is introduced using MLP (multilayer perceptron) and PCA (principal component analysis). This method is used in a human face recognition system and results are compared to a face recognition system using PCA directly and to a system with direct classification of input images by MLP.
Từ khóa
#Principal component analysis #Face recognition #Multilayer perceptrons #Eigenvalues and eigenfunctions #Neurons #Feature extraction #Image databases #Testing #Neural networks #Information technologyTài liệu tham khảo
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