Robust classifier based two-layer Adaboost for precise eye location
Weihong Li · Journal of Computer Applications · 2008
A two-layer eye classifier for eye detection was proposed.Two layers,double-eye layer and single-eye layer,had been trained and cascaded into a strong one for eye detection.Two-layer classifier was more robust in illumination invariance eye detection compared with YCbCr space eye map algorithm.Also,it kept the same detection rate as the commonly trained Adaboost eye classifier with a much lower error detection rate.Relationship among stages,training sample number and error detection rate had been analyzed to facilitate the training procedure.