Facial Feature Location and Extraction for Computerized Human Face Recognition
Kin‐Man Lam, Hong Yan · International Symposium on Information Theory and its Applications · 1994
Facial feature extraction is an important step in automated visual interpretation and human face recognition. Deformable template is a method used in extracting the eye boundaries. However, a weakness of the deformable template is the lengthy processing time. In this paper, the head boundary is first located in a head-and-shoulders image. The approximate positions of the eyes are estimated by means of average anthropometric measures. Corners, the salient features of the eyes, are detected and used to set the initial parameters of the eye templates. This scheme can accurately position the templates in relation to the eye images and greatly reduce the processing time for the templates. In order to illustrate this performance, a simplified eye template model is used in the experiment.