| A novel algorithm for automatic localization of human eyes |
| |
| 引用本文： | 陶亮,顾涓涓,庄镇泉. A novel algorithm for automatic localization of human eyes[J]. 中国光学快报(英文版), 2003, 1(11) |
| |
| 作者姓名： | 陶亮 顾涓涓 庄镇泉 |
| |
| 作者单位： | Department of Electronic Engineering and Information Science，Anhui University，Hefei 230039Department of Electronic Science and Technology，University of Science and Technology of China，Hefei 230026，Department of Computer and Information Engineering，Hefei Association University，Hefei 230022，Department of Electronic Science and Technology，University of Science and Technology of China，Hefei 230026 |
| |
| 基金项目： | This research was supported by the Excellent Young Teachers Program of the Ministry of Education, P. R. China, the National Natural Science Foundation of China(No. 60375010) |
| |
| 摘 要： | Based on geometrical facial features and image segmentation, we present a novel algorithm for automatic localization of human eyes in grayscale or color still images with complex background. Firstly, a determination criterion of eye location is established by the prior knowledge of geometrical facial features. Secondly, a range of threshold values that would separate eye blocks from others in a segmented face image (i.e., a binary image) are estimated. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. To avoid the background interference, skin color segmentation can be applied in order to enhance the accuracy of eye detection. The experimental results demonstrate the high efficiency of the algorithm and correct
|
A novel algorithm for automatic localization of human eyes |
| |
| Abstract: | Based on geometrical facial features and image segmentation, we present a novel algorithm for automatic localization of human eyes in grayscale or color still images with complex background. Firstly, a determination criterion of eye location is established by the prior knowledge of geometrical facial features. Secondly,a range of threshold values that would separate eye blocks from others in a segmented face image (I.e.,a binary image) are estimated. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. To avoid the background interference, skin color segmentation can be applied in order to enhance the accuracy of eye detection. The experimental results demonstrate the high efficiency of the algorithm and correct localization rate. |
| |
| Keywords: | |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
