Image Preprocessing for Eye Pupil Tracking

被引:0
作者
Dykyi, Andrii [1 ]
Vountesmery, Youry [1 ]
机构
[1] NTUU Igor Sikorsky Kyiv Polytech Inst, Dept Elect Engn, Kiev, Ukraine
来源
2020 IEEE 40TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO) | 2020年
关键词
eye pupil tracking; point of gaze; image processing; blurring; sharpening; contrasting; scaling;
D O I
10.1109/elnano50318.2020.9088810
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The influence of image preprocessing methods on the quality of eye pupil tracking by video is investigated. The methods of blurring, sharping, contrasting and scaling are considered. An estimate of the signal-to-noise ratio for image recognition based on the signal spectrum is proposed. The results obtained make it possible to determine combinations of image preprocessing modes that give the best pupil detection accuracy and a sufficiently high frame processing speed.
引用
收藏
页码:574 / 579
页数:6
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