Localizing Parts of Faces Using a Consensus of Exemplars

@article{Belhumeur2011LocalizingPO,
  title={Localizing Parts of Faces Using a Consensus of Exemplars},
  author={P. Belhumeur and D. Jacobs and D. Kriegman and Neeraj Kumar},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2011},
  volume={35},
  pages={2930-2940}
}
We present a novel approach to localizing parts in images of human faces. The approach combines the output of local detectors with a nonparametric set of global models for the part locations based on over 1,000 hand-labeled exemplar images. By assuming that the global models generate the part locations as hidden variables, we derive a Bayesian objective function. This function is optimized using a consensus of models for these hidden variables. The resulting localizer handles a much wider range… Expand
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