Extraction of human facial features based on Haar feature with Adaboost and image recognition techniques
Hoang Minh Phuong, Le Dung, Tony de Souza-Daw, Nguyen Tien Dzung, Thang Manh Hoang · 2012
Locating facial feature in face images is an important stage for numerous facial image applications such as face recognition, face expression recognition and face tracking and lip reading. In this paper, we present a robust method for detecting facial feature points in frontal face images. The method adopts face detection algorithm of Viola-Jones face detector. The facial regions are than extracted by applying Haar feature based Adaboost algorithm for detecting eye, nose and mouth regions. Finally, template matching and several image processing techniques are utilized to detect feature points. Experiment on the IMM database, CVL database and our laboratory database is carried out to demonstrate and verify the proposed method.