Naked people retrieval based on Adaboost learning

@article{Cao2002NakedPR,
  title={Naked people retrieval based on Adaboost learning},
  author={Liangliang Cao and Xuelong Li and Neng-hai Yu and Zhengkai Liu},
  journal={Proceedings. International Conference on Machine Learning and Cybernetics},
  year={2002},
  volume={2},
  pages={1133-1138 vol.2}
}
Presents a learning scheme for judging whether there are any naked people in an image. First, learning vector quantization is used to build several classifiers based on the low-level features, such as color histogram, region shape, texture and etc., which are extracted from the images. The best classifier performs a recognition ratio of 81.3%, so the Adaboost learning method is applied to combine these classifiers to form a stronger one, and the final classification achieves a result of 86.0… CONTINUE READING

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