摘要
提出了一种基于灰度投影曲线和Harris角点检测进行人眼定位的新算法。首先利用原图的垂直灰度投影曲线确定人脸的左右边界,然后利用人脸区域的水平灰度投影确定头顶至鼻子中部的上下边界,最后利用Harris角点检测算法快速定位瞳孔,精确定位人眼的位置。文章算法成功地将Harris角点检测算法应用到瞳孔定位中,实验结果表明,该算法不受眉毛的干扰,具有较小的运算量和较高的处理速度,而且定位准确,准确率较高,很好地解决了简单背景下人眼的快速定位问题。
A new fast method of pupils localization based on gray-level projection and Harris corner detection is proposed. First, the left and right boundaries of face is localized with vertical gray-level projection. Secondly,face region's horizontal gray-level projection is used to localize the top of the head and the middle of the nose. Finally, locating the exact positions of pupils rapidly using Harris corner detection,accordingly,the exact positions of the eyes is located. This algorithm is successful Harris corner detection algorithm applied to the pupil position, the experimental results demonstrate that the algorithm without the interference of eyebrow, a smaller computing capacity and higher processing speed and locating accuracy, higher accuracy rate, solve a human eye's rapid positioning in simple background.
出处
《液晶与显示》
CAS
CSCD
北大核心
2008年第1期87-90,共4页
Chinese Journal of Liquid Crystals and Displays
基金
教育部留学回国人员科研启动基金项目资助(No.2005383)
关键词
瞳孔定位
垂直灰度投影
水平灰度投影
HARRIS角点检测
pupils localization
vertical gray-level projection
horizontal gray-level projection
Harris corner detection