标题：A Novel Method Used in Automatic Eye Localization System
作者：F. L. Chang;W. C. Wang;G. Q. Zhang;X. Y. Sun
作者机构：[Chang, F.L] School of Control Science and Engineering, Shandong University, Jinan 250061, China;[ Wang, W.C] School of Control Science and Engineerin 更多
来源：Sensor Letters: A Journal Dedicated to all Aspects of Sensors in Science, Engineering, and Medicine
关键词：Face Recognition;Eye Detection;Region Projection;Eye Location
摘要：Human eyes play an important role in face analysis and they are considered the most salient and stable among all other facial features. In this paper, after analyzing the traditional gray projection methods, a new approach based on region projection function (RPF) is proposed, which taking into account the two-dimensional characteristics in the process of gray projection. Based on this algorithm, the automatic eye detection and location system is designed. Firstly, AdaBoost algorithm is used to detect the facial region, and the rough eye window can be obtained approximately. Then, the eye image is divided into several non-overlapping regions and the candidate region of pupil is obtained by horizontal projection and vertical projection. Finally, the pupil center is located precisely by boundary tracking with the use of the gray characteristics. A criterion is adopted to evaluate the accuracy of human eye location, and the algorithm is tested on the Caltech facial database and JAFFE database. By the Experiments analysis, it showed that the proposed method is working well in the eye localization system and had better performance than traditional projection methods.