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contains all the data required for eigen-face project
The project presents a unsupervised learning framework which can learn and recognize human faces. A face can be described using a set of 2D characterisitic views. The "eigen faces" or eigen vectors of the training images are used to define a face space. The images are projected onto this face space that also encodes the variation amongst the known faces.
Python Implementation of the Viola-Jones algorithm for detecting faces | Eigen Faces method to recognise various faces.