计算机应用 ›› 2018, Vol. 38 ›› Issue (10): 3013-3016.DOI: 10.11772/j.issn.1001-9081.2018040778

• 虚拟现实与多媒体计算 • 上一篇    下一篇

基于数字图像处理的眼球控制精度提高方法

严德赛1, 曾诚1,2   

  1. 1. 湖北大学 计算机与信息工程学院, 武汉 430062;
    2. 湖北省教育信息化工程技术研究中心(湖北大学), 武汉 430062
  • 收稿日期:2018-04-16 修回日期:2018-07-05 出版日期:2018-10-10 发布日期:2018-10-13
  • 通讯作者: 曾诚
  • 作者简介:严德赛(1993-),男,湖北武汉人,硕士研究生,主要研究方向:数字图像处理、大数据、云计算;曾诚(1976-),男,湖北武汉人,教授,博士,CCF会员,主要研究方向:服务计算、云计算。

Eyeball control accuracy improvement method based on digital image processing

YAN Desai1, ZENG Cheng1,2   

  1. 1. School of Computer Science and Information Engineering, Hubei University, Wuhan Hubei 430062, China;
    2. Hubei Province Engineering Technology Research Center for Education Informationization(Hubei University), Wuhan Hubei 430062, China
  • Received:2018-04-16 Revised:2018-07-05 Online:2018-10-10 Published:2018-10-13

摘要: 为提高眼球控制方法的精度,完成对手机或电脑屏幕高准确性的操作,利用人眼看屏幕的焦点和视网膜成像点确定的直线正好通过瞳孔的圆心处,且屏幕的发光轮廓在眼球上反射形成矩形轮廓的原理,提出基于数字图像处理的眼球控制精度提高方法。瞳孔圆心和矩形轮廓之间映射的关系就是人眼焦点在屏幕上的具体位置。通过高清摄像机对眼球进行实时录像,运用数字图像处理技术对每一帧图片进行实时分析处理运算得到人眼焦点在屏幕上的位置坐标,将每一帧图片计算所得坐标输出到鼠标光标上实现对眼球焦点的追踪,将坐标位置信息通过无线技术传输到带有屏幕的被控制设备以实现眼球对其控制。仿真表明,映射方法使眼球控制精度平均准确值达到0.7°。

关键词: 眼球控制, 数字图像处理, 焦点, 精度, 瞳孔

Abstract: To improve the accuracy of the eyeball control on the screen and complete high-accuracy operation to mobile phones or computers, based on the principle that the focus of human eye in screen and the image point in retinal can determine a line through the center of pupil, and the screen's luminous contour reflects on the eyeball to form a rectangular outline, an eyeball control accuracy improvement method based on digital image processing was proposed. The relationship between the pupil center and the rectangular contour is the specific position of the human eye focus on the screen. Real-time video of the eyeball was obtained through a high-definition camera, then digital image processing technology was used to analyze and process each frame of image for obtaining the position coordinates of human eye focus on the screen. The calculated coordinates of each frame were output to the mouse cursor to track the focus of the eyeball, and the position was output to a controlled device with a screen via wireless technology to achieve eyeball control. Simulation results show that the average accuracy of eye control of the proposed mapping method achieves 0.7 degree.

Key words: eyeball control, digital image processing, focus, accuracy, pupil

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