基于机器视觉技术的视力保护教具研究

Jian Xu, Yabo Luo
{"title":"基于机器视觉技术的视力保护教具研究","authors":"Jian Xu, Yabo Luo","doi":"10.1109/ICET52293.2021.9563164","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Eyesight Protection-Oriented Teaching Aids Using Machine Vision Technology\",\"authors\":\"Jian Xu, Yabo Luo\",\"doi\":\"10.1109/ICET52293.2021.9563164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":432459,\"journal\":{\"name\":\"2021 IEEE International Conference on Educational Technology (ICET)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Educational Technology (ICET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICET52293.2021.9563164\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Educational Technology (ICET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET52293.2021.9563164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信