Complexity Reduced Face Detection Using Probability-Based Face Mask Prefiltering and Pixel-Based Hierarchical-Feature Adaboosting

@article{Guo2011ComplexityRF,
  title={Complexity Reduced Face Detection Using Probability-Based Face Mask Prefiltering and Pixel-Based Hierarchical-Feature Adaboosting},
  author={Jing-Ming Guo and Chen-Chi Lin and Min-Feng Wu and Che-Hao Chang and Hua Lee},
  journal={IEEE Signal Processing Letters},
  year={2011},
  volume={18},
  pages={447-450}
}
The Adaboosting has attracted attention for its efficient face-detection performance. However, in the training process, the large number of possible Haar-like features in a standard sub-window becomes time consuming, which makes specific environment feature adaptation extremely difficult. This letter presents a two-stage hybrid face detection scheme using Probability-based Face Mask Pre-Filtering (PFMPF) and the Pixel-Based Hierarchical-Feature Adaboosting (PBHFA) method to effectively solve… CONTINUE READING
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