Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

@article{Belhumeur1997EigenfacesVF,
  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={1997},
  volume={19},
  pages={711-720}
}
We develop a face recognition algorithm which is insensitive to large variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as a coordinate in a high-dimensional space. We take advantage of the observation that the images of a particular face, under varying illumination but fixed pose, lie in a 3D linear subspace of the high dimensional image space—if the face is a Lambertian surface without shadowing. However, since… CONTINUE READING
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