• Computer Science
  • Published in NIPS 1996

Representing Face Images for Emotion Classification

@inproceedings{Padgett1996RepresentingFI,
  title={Representing Face Images for Emotion Classification},
  author={Curtis Padgett and Garrison W. Cottrell},
  booktitle={NIPS},
  year={1996}
}
We compare the generalization performance of three distinct representation schemes for facial emotions using a single classification strategy (neural network). The face images presented to the classifiers are represented as: full face projections of the dataset onto their eigenvectors (eigenfaces); a similar projection constrained to eye and mouth areas (eigenfeatures); and finally a projection of the eye and mouth areas onto the eigenvectors obtained from 32×32 random image patches from the… CONTINUE READING

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