Face recognition using kernel direct discriminant analysis algorithms

@article{Lu2003FaceRU,
  title={Face recognition using kernel direct discriminant analysis algorithms},
  author={Juwei Lu and Konstantinos N. Plataniotis and Anastasios N. Venetsanopoulos},
  journal={IEEE transactions on neural networks},
  year={2003},
  volume={14 1},
  pages={
          117-26
        }
}
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition (FR) systems. It is well known that the distribution of face images, under a perceivable variation in viewpoint, illumination or facial expression, is highly nonlinear and complex. It is, therefore, not surprising that linear techniques, such as those based on principle component analysis (PCA) or linear discriminant analysis (LDA), cannot… 

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