Independent component representations for face recognition

@inproceedings{Bartlett1998IndependentCR,
  title={Independent component representations for face recognition},
  author={Marian Stewart Bartlett and Martin Lades and Terrence J. Sejnowski},
  booktitle={Human Vision and Electronic Imaging},
  year={1998}
}
In a task such as face recognition, much of the important information may be contained in the high-order relationships among the image pixels. A number of face recognition algorithms employ principal component analysis (PCA), which is based on the second-order statistics of the image set, and does not address high-order statistical dependencies such as the relationships among three or more pixels. Independent component analysis (ICA) is a generalization of PCA which separates the high-order… CONTINUE READING
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