Frontal face detection with evolutionary template matching

In this paper, we propose an effective method for frontal face detection. The proposed method uses a template matching with the genetic algorithm (GA). This method uses a template which shows a distribution of average intensities on a human face. The template and some candidate areas which are searched by GA are compared, and theirs similarities are calculated. The proposed method is robust to geometric transformation of the face. This method can sense the face, such as a location, and an angle of rotation of the face. In some experiments, the proposed method can detect and sense the frontal human face.