Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

@article{Belhumeur1996EigenfacesVF,
  title={Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection},
  author={Peter N. Belhumeur and Jo{\~a}o Pedro Hespanha and David J. Kriegman},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={1996},
  volume={19},
  pages={711-720}
}
We develop a face recognition algorithm which is insensitive to large variation in lighting direction and facial expression. [] Key Method Rather than explicitly modeling this deviation, we linearly project the image into a subspace in a manner which discounts those regions of the face with large deviation. Our projection method is based on Fisher's linear discriminant and produces well separated classes in a low-dimensional subspace, even under severe variation in lighting and facial expressions.

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...

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