This project provides a comprehensive, from-scratch implementation of the classic Eigenfaces method for face recognition, combining Principal Component Analysis (PCA) for dimensionality reduction with ...
Abstract: PCA algorithm is a typical data dimensionality reduction method, which projects high-dimensional data to a lower-dimensional space to obtain a low-dimensional data set that can maximally ...
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