A fast eye location method using ordinal features

Authors:
Xuetao Feng;Yangsheng Wang;Bai Li
Affiliations:
Institute of Automation, Beijing, China;Institute of Automation, Beijing, China;University of Nottingham, Nottingham, UK
Venue:
Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology
Year:
2006

Citing 3
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Abstract

Automatic facial feature location is an important step in human-computer interaction and automatic face recognition. In this paper, a new eye location method is proposed. A classifier based on ordinal features is constructed by training on samples. It is used to evaluate the eye candidates discovered by the detector trained using AdaBoost. False positive responds are abandoned and eye centers are calculated by the evaluation result. The experimental results demonstrate that our method achieves good location performance.