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Document showing the eigenfaces approach for face recognition
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Document showing the use of eigenfaces and neural network together for face recognition
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Teaching about pca - principal component analysis. you can learn how pca work and what eigenfaces is?
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EigenFaces for face recognition
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Eigenfaces are a set of eigenvectors used in the computer vision problem of human face recognition. The approach of using eigenfaces for recognition was developed by Sirovich and Kirby (1987) and used by Matthew Turk and Alex Pentland in face classif
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In this paper, we extend Fisherface for face recognition
from one example image per son. Fisherface is one of
the most successful face recognition methods. However,
Fisherface requires several training images for each face,
so it cannot be ap
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