Leer detection with webcam in a desktop environment

P. Sudha, L. Sudha, K. Aruna, V. Sureka, K. Jayanthi
{"title":"Leer detection with webcam in a desktop environment","authors":"P. Sudha, L. Sudha, K. Aruna, V. Sureka, K. Jayanthi","doi":"10.1109/ICICES.2017.8070785","DOIUrl":null,"url":null,"abstract":"This cardboard addresses the eye exhausting tracking botheration machine a reduced and included satisfactory web camera in a desktop domain, as against to tedious tracking procedures acute specific hardware, e.g., ambivalent high-resolution camera and self-contradicting on fire sources, as capable as a cumbersome plan handle. In the proposed strategy, we native hint the creature confront in a continuous video plan to extract the eye districts. At that point, we amalgamate intensity activity and curve spine to affirmation the iris centermost and propel the piecewise eye twist indicator to discover the eye corner. We acknowledge a sinusoidal model to mimic the 3-D curve shape.","PeriodicalId":134931,"journal":{"name":"2017 International Conference on Information Communication and Embedded Systems (ICICES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Information Communication and Embedded Systems (ICICES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICES.2017.8070785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This cardboard addresses the eye exhausting tracking botheration machine a reduced and included satisfactory web camera in a desktop domain, as against to tedious tracking procedures acute specific hardware, e.g., ambivalent high-resolution camera and self-contradicting on fire sources, as capable as a cumbersome plan handle. In the proposed strategy, we native hint the creature confront in a continuous video plan to extract the eye districts. At that point, we amalgamate intensity activity and curve spine to affirmation the iris centermost and propel the piecewise eye twist indicator to discover the eye corner. We acknowledge a sinusoidal model to mimic the 3-D curve shape.
Leer检测与网络摄像头在桌面环境
这种纸板解决了令人眼花缭乱的跟踪干扰机,在桌面域简化并包含了令人满意的网络摄像头,而不是繁琐的跟踪程序和特定硬件,例如矛盾的高分辨率摄像头和自相矛盾的火源,就像一个笨重的计划手柄一样能干。在提出的策略中,我们在一个连续的视频计划中对生物进行局部提示,以提取眼睛区域。此时,我们结合强度活动和弯曲脊柱来确定虹膜最中心位置,并分段推进眼扭指示器来发现眼角。我们承认一个正弦模型来模拟三维曲线形状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信