Modeling face appearance with nonlinear independent component analysis

@article{Liu2004ModelingFA,
  title={Modeling face appearance with nonlinear independent component analysis},
  author={Qingshan Liu and Jian Cheng and Hanqing Lu and Songde Ma},
  journal={Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.},
  year={2004},
  pages={761-766}
}
Appearance-based approach is one of popular methods for face analysis. How to describe face appearance is a key issue for appearance based face analysis. Principal component analysis (PCA) and independent component analysis (ICA) are two successful and well-studied linear unsupervised representation methods of face appearance. However, there exist complicate nonlinear variations in real face images due to pose, illumination, expression variations and so on, so it is inadequate for PCA and ICA… CONTINUE READING

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