Eye Localization Based on Multi-Channel Correlation Filter Bank
Accurate eye localization plays a key role in many face analysis related applications.In this paper,we propose a novel eye localization framework with a group of trained filter arrays called multi-channel correlation filter bank (MCCFB).Each filter array in the bank suits to a different face condition,thus combining these filter array can locate eyes more precisely for variable poses,appearances and illuminations when comparing to single filter/filter array.To demonstrate the performance of our strategy,MCCFB is compared to other eye localization methods,experimental results show superiority of our method in detection ratio,localization accuracy and robustness.
Eye localization Correlation Filter Filter Bank Multi-channel Regression Biometric Security
Rui Yang Shiming Ge Kaixuan Xie Shuixian Chen
State Key Laboratory of Information Security,IIE,CAS,China;Beijing Key Laboratory of IOT Information State Key Laboratory of Information Security,IIE,CAS,China;Beijing Key Laboratory of IOT Information
国际会议
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)
长沙
英文
325-334
2014-11-01(万方平台首次上网日期,不代表论文的发表时间)