A pupil location algorithm based on cascaded Haar feature and OTSU dynamic threshold segmentation | |
Qian, Fanxing1,2; Lei, Hao1,2 | |
2021 | |
会议日期 | 2021-06-20 |
会议地点 | Beijing, China |
关键词 | Sight tracking Pupil detection Image processing Edge detection |
卷号 | 12065 |
DOI | 10.1117/12.2607002 |
英文摘要 | With the development of visual human-computer interaction, non-invasive eye-tracking technology has been applied in medical diagnosis, psychological research, augmented reality and other fields. As a key step of video-based eye tracking technology, pupil detection requires strong robustness, real-time performance and high precision. Although many pupil detection algorithms have been developed, pupil detection is still a challenge when there are so many interference factors such as bright light, reflection, eyelid or eyelash occlusion, or low image resolution. Aim to address the above difficult problems of pupil detection, this paper uses cascaded Haar features and Otsu dynamic threshold segmentation to improve the performance of the existing pupil detection algorithm. The performance of the improved algorithm is verified with the public human eye image dataset from Swirski with high off-axis and severe eyelash occlusion. The results show that the accuracy of the improved algorithm is 86.3% and 89.7% in the error range of 5 pixels and 10 pixels, respectively. The detection algorithm in this paper can provide accurate pupil center coordinates for eye tracking, which lays a foundation for the high-precision calibration and measurement of the following eye tracker. © 2021 SPIE. |
产权排序 | 1 |
会议录 | AOPC 2021: Optical Sensing and Imaging Technology |
会议录出版者 | SPIE |
语种 | 英语 |
ISSN号 | 9781510650053 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/95662] |
专题 | 西安光学精密机械研究所_空间光学应用研究室 |
作者单位 | 1.University of Chinese Academy of Science, Beijing; 100049, China 2.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an; 710071, China; |
推荐引用方式 GB/T 7714 | Qian, Fanxing,Lei, Hao. A pupil location algorithm based on cascaded Haar feature and OTSU dynamic threshold segmentation[C]. 见:. Beijing, China. 2021-06-20. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论