Frontal face classifier using AdaBoost with MCT features

@article{Yoon2010FrontalFC,
  title={Frontal face classifier using AdaBoost with MCT features},
  author={Jongmin Yoon and Daijin Kim},
  journal={2010 11th International Conference on Control Automation Robotics & Vision},
  year={2010},
  pages={2084-2087}
}
In this paper, we describe how to classify frontal face from the results of face detection which include non-frontal faces. To do this, we use AdaBoost learning method with Modified Census Transform (MCT) to construct a two-class classifier. As a result of that, our frontal face classifier achieves high classification rate above 96% and fast performance about 10 frames/sec in mobile device.