Facial Geometric Feature for Cascade Eye Detection

摘要：

　　An innovative method for cascade eye detection using facial geometric features is proposed.The cascade detector is used to detect pairs of eye of candidates.The size similarity,the horizontal symmetry,the horizontal sextant angle,and the scale coefficients extracted from facial geometric feature are integrated to improve eye detection.Both the BioID database and real-time video stream were used in the experiments.Experimental results show that the proposed eye detection method is significantly more accurate than the cascade detector alone without sacrificing overmuch time-efficiency.

关键词： Cascade eye detection Facial geometric feature Face recognition

作者: Chang Guo Xianye Ben Xikai Fu Fei Liu Zhenqing Zhang

作者单位: School of Information Science and Engineering,Shandong University,No.27,Shanda Nanlu,Jinan 250100,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 413-420

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）