基于机器视觉技术的视力保护教具研究

Jian Xu, Yabo Luo
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引用次数: 0

摘要

眼机测距技术在安全监控、辅助驾驶、预防近视等方面发挥着重要作用。然而,眼机测距在精度和实时性方面存在一些问题。为了解决这一问题,本文采用“人脸检测-眼睛识别-空间定位”的技术思路,由粗到精,构建了一个基于机器视觉的自适应视觉保护桌系统。首先,采用改进的人口普查变换边缘匹配算法获得边缘深度图,截取人体轮廓,分离头肩得到人脸区域;然后,利用所设计的人眼检测器对人眼进行检测,通过对右侧相应人眼进行匹配得到视差;最后,通过优化后的视差计算公式结合高度计算方程,得到人眼与桌面之间的垂直距离。通过多次实验,验证了该方法在提高人机测距精度和实时性方面的显著效果。
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Research on Eyesight Protection-Oriented Teaching Aids Using Machine Vision Technology
Eye machine ranging technology plays an important role in safety monitoring, assistant driving and prevention of myopia. However, there are some problems of accuracy and real-time in eye machine ranging. To solve this problem, this paper adopts the technical idea of “face detection-eye recognition-spatial positioning”, from coarse to fine, and constructs an adaptive vision protection desk system based on machine vision. Firstly, the improved census transform edge matching algorithm is used to obtain the edge depth map, intercept the human contour, and separate the head and shoulder to get the face area; Then, the designed eye detector is used to detect the human eyes, and the disparity is obtained by matching the corresponding human eyes on the right side; Finally, the vertical distance between the human eyes and the desktop is obtained through the optimized disparity calculation formula combined with the height calculation equation. Through many experiments, the remarkable effect of this method to improve the accuracy and real-time of man-machine ranging is verified.
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