Face detection based on half face-template

Face detection in the image is an important research branch of face recognition. For the purpose of detecting the faces in images efficiently, a face detection method based on half face-template is proposed. According to the character of density of the feature organs such as eye, ear, nose, mouth, part of cheek in the face images, the obverse average full face-template is constructed. And the obverse average half face-template is constructed directly based on density symmetry of face-template. The face detection experiments in the images were carried on using the method of template matching and determine the position of the face in the image according to comparability. The theory analysis shows that the average face-template can reduce the chanciness of local density of the template effectively and the half face-template can reduce the symmetry redundancy of density in the face-template and increase the speed of face detection. The experimental result indicates that the half face-template can adapt to side face images in a large angle, which improves the correctness of side face detection substantially.