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Received:September 19, 2012 Revised:November 12, 2012
Received:September 19, 2012 Revised:November 12, 2012
中文摘要: 采用方差滤波器确定人眼候选区域, 结合独立成分分析(ICA)方法对人眼进行快速定位, 能够有效地提取训练图像的高阶统计特征, 很好地去除基向量的相关性. 与主成分分析(PCA)和传统ICA方法相比具有更好的鉴别能力. 实验表明, 该方法的识别率可达97.3%, 并对光照和姿态变化也具有很好的鲁棒性.
中文关键词: 人眼定位 独立成分分析(ICA) 主成分分析(PCA)
Abstract:A new algorithm for eye location is presented. In this method, the probable eyes candidate regions are localized rapidly by using the combination of the variance filter and the independent analysis (ICA) method. The method depends on higher-order statistics of the training images decorrelated by basis vectors. Compared with principal component analysis (PCA) and traditional method of independent component analysis, the method does better in the eye identification. The results of experiments show that the proposed method has the detection rate of 97.3%, and is more efficient and robust to the variable postures and illuminations.
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基金项目:国家自然基金(61005084);教育部高等教育博士点基金(20114307120032);湖南省教育厅科技项目(11C0076)
引用文本：
李政仪,冯贵玉.基于方差滤波和ICA算法的人眼定位.计算机系统应用,2013,22(4):113-115
LI Zheng-Yi,FENG Gui-Yu.Eye Location Based on Variance Filter and Independent Component Analysis.COMPUTER SYSTEMS APPLICATIONS,2013,22(4):113-115
李政仪,冯贵玉.基于方差滤波和ICA算法的人眼定位.计算机系统应用,2013,22(4):113-115
LI Zheng-Yi,FENG Gui-Yu.Eye Location Based on Variance Filter and Independent Component Analysis.COMPUTER SYSTEMS APPLICATIONS,2013,22(4):113-115
