Evolutionary Eigenspace Learning using CCIPCA and IPCA for Face Recognition

@inproceedings{Assassa2009EvolutionaryEL,
  title={Evolutionary Eigenspace Learning using CCIPCA and IPCA for Face Recognition},
  author={Ghazy M. R. Assassa and Mona F. M. Mursi and Hatim A. Aboalsamh},
  year={2009}
}
Traditional principal components analysis (PCA) techniques for face recognition are based on batch-mode training using a pre-available image set. Real world applications require that the training set be dynamic of evolving nature where within the framework of continuous learning, new training images are continuously added to the original set; this would… CONTINUE READING