标题:Facial Geometric Feature for Cascade Eye Detection
作者:Guo, Chang; Ben, Xianye; Fu, Xikai; Liu, Fei; Zhang, Zhenqing
通讯作者:Ben, Xianye
作者机构:[Guo, Chang; Ben, Xianye; Fu, Xikai; Liu, Fei; Zhang, Zhenqing] Shandong Univ, Sch Informat Sci & Engn, 27 Shanda Nanlu, Jinan 250100, Peoples R China 更多
会议名称:Chinese Intelligent Automation Conference (CIAC)
会议日期:2015
来源:PROCEEDINGS OF THE 2015 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT INFORMATION PROCESSING
出版年:2015
卷:336
页码:413-420
DOI:10.1007/978-3-662-46469-4_44
关键词:Cascade eye detection; Facial geometric feature; Face recognition
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.
收录类别:CPCI-S;EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943248344&doi=10.1007%2f978-3-662-46469-4_44&partnerID=40&md5=e1a21d5fb55f7dce4211a41afb3fcdd1
TOP