Using Global PCA Generated Receptive Fields for Face Recognition
نویسندگان
چکیده
We apply the global Principal Component Analysis (PCA) learning for face recognition tasks. The global unsupervised PCA learning generates a set of plausible visual receptive elds that are ideal for image decomposition during the feature extraction process for recognition. The procedure and results of our approach are illustrated and discussed.
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تاریخ انتشار 1995