Facial feature detection using AdaBoost with shape constraints

@inproceedings{Cristinacce2003FacialFD,
  title={Facial feature detection using AdaBoost with shape constraints},
  author={David Cristinacce and Timothy F. Cootes},
  booktitle={BMVC},
  year={2003}
}
Recently a fast and efficient face detection method has been devised [11], which relies on the AdaBoost algorithm and a set of Haar Wavelet like features. A natural extension of this approach is to use the same technique to locate individual features within the face region. However, we find that there is insufficient local structure to reliably locate each feature in every image, and thus local models can give many false positive responses. We demonstrate that the performance of such feature… CONTINUE READING
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The Statistical Analysis of Shape

  • I. Dryden, K. V. Mardia
  • 1998
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4 Excerpts

Face analysis fro synthesis of photo-realistic talking heads

  • H. P Graf, E.Casotto, T. Ezzat
  • In 4th International Conference on Automatic Face…
  • 2000
1 Excerpt

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