Face Recognition Experiments with Random Projection

@inproceedings{Goel2004FaceRE,
  title={Face Recognition Experiments with Random Projection},
  author={Navin Goel and George Bebis and Ara V. Nefian},
  year={2004}
}
There has been a strong trend lately in face processing research away from geometric models towards appearance models. Appearance-based methods employ dimensionality reduction to represent faces more compactly in a low-dimensional subspace which is found by optimizing certain criteria. The most popular appearance-based method is the method of eigenfaces that uses Principal Component Analysis (PCA) to represent faces in a lowdimensional subspace spanned by the eigenvectors of the covariance… CONTINUE READING

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