A ROBUST EYE LOCALIZATION ALGORITHM FOR FACE RECOGNITION

作     者：Zhang Wencong Li Xin Yao Peng Li Bin Zhuang Zhenquan 

作者机构：MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei 230026 China 

出 版 物：《Journal of Electronics(China)》 (电子科学学刊（英文版）)

年 卷 期：2008年第25卷第3期

页      面：337-342页

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Supported by the Science Research Fund of MOE-Microsoft Key Laboratory of Multimedia Com-puting and Communication (No.05071811) the Talent Promotion Program of Anhui Province (No.2004Z026) 

主　　题：Eye localization AdaBoost Fast radial symmetry 

摘      要：The accuracy of face alignment affects greatly the performance of a face recognition system. Since the face alignment is usually conducted using eye positions, the algorithm for accurate eye lo- calization is essential for the accurate face recognition. In this paper, an algorithm is proposed for eye localization. First, the proper AdaBoost detection is adaptively trained to segment the region based on the special gray distribution in the region. After that, a fast radial symmetry operator is used to pre- cisely locate the center of eyes. Experimental results show that the method can accurately locate the eyes, and it is robust to the variations of face poses, illuminations, expressions, and accessories.