Precise Eye Localization with AdaBoost and Fast Radial Symmetry

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 algo...

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Bibliographic Details
Main Authors: Zhang Wencong, Chen Hong, Yao Peng, Li Bin, Zhuang Zhenquan
Format: Conference Proceeding
Language:English
Subjects:
Detectors
Eyes
Face detection
Face recognition
Laboratories
Layout
Lighting
Multimedia computing
Object detection
Robustness
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Summary: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, accessions and illuminations
DOI:10.1109/ICCIAS.2006.294229