Face detection with Waldboost algorithm

@inproceedings{Kalal2007FaceDW,
  title={Face detection with Waldboost algorithm},
  author={Zdenek Kalal and Abstrakt U{\vc}en{\'i}},
  year={2007}
}
Face detection algorithms based on the work of Viola and Jones [11] train the classifier by processing training examples of face and non-face patterns. A general effort is to process a large number of training examples and hence describe the problem accurately. Current approaches are based on the assumption that non-face patterns can be easily obtained contrary to faces. While the faces remain in the training the whole time, the easy non-face patterns are stepwise replaced with more difficult… CONTINUE READING
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Improved boosting using confidencerated predictions

  • Robert E. Schapire, Yoram Singer
  • Machine Learning,
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