High Performance and Efficient Facial Recognition Using Norm of ICA/Multiwavelet Features

@inproceedings{Aldhahab2015HighPA,
  title={High Performance and Efficient Facial Recognition Using Norm of ICA/Multiwavelet Features},
  author={Ahmed Aldhahab and George K. Atia and Wasfy B. Mikhael},
  booktitle={ISVC},
  year={2015}
}
In this paper, a supervised facial recognition system is proposed. For feature extraction, a Two-Dimensional Discrete Multiwavelet Transform (2D DMWT) is applied to the training databases to compress the data and extract useful information from the face images. Then, a Two-Dimensional Fast Independent Component Analysis (2D FastICA) is applied to different combinations of poses corresponding to the subimages of the low-low frequency subband of the MWT, and the \(\ell _2\)-norm of the resulting… CONTINUE READING

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