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What is Eigenfaces for Face Recognition System about?

The document summarizes an implementation of the eigenfaces algorithm for face recognition. It describes how the algorithm works by projecting faces into a feature space defined by eigenvectors (eigenfaces) derived from a training dataset of faces. A new face can then be recognized by projecting it into this feature space and finding the closest face from the training set based on Euclidean distance. The implementation achieved 100% accuracy for variations in lighting, 90% for orientation changes, and 65% f

Author

abhites

Language

EN