Precise Eye Localization with AdaBoost and Fast Radial Symmetry

Authors:
Wencong Zhang;Hong Chen;Peng Yao;Bin Li;Zhenquan Zhuang
Affiliations:
MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, 230027 Hefei, China;MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, 230027 Hefei, China;MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, 230027 Hefei, China;MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, 230027 Hefei, China and Anhui Key Laboratory of Software in Computing and Com ...;MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, 230027 Hefei, China
Venue:
Computational Intelligence and Security
Year:
2007

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Abstract

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 localization is therefore essential for the accurate face recognition. In this paper, we propose a novel algorithm for eye localization. Based on the special gray distribution in the eye region, proper AdaBoost detection is adaptively trained to segment the eye region. After getting the region of eyes, a fast radial symmetry operator is used to precisely 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, expressions, illuminations and accessories.