Identification of optical signatures for the augmented reality system

IF 2.3 4区 物理与天体物理 Q2 OPTICS Fiber and Integrated Optics Pub Date : 2019-09-13 DOI:10.1117/12.2536698
T. Palys, Artur Arciuch
{"title":"Identification of optical signatures for the augmented reality system","authors":"T. Palys, Artur Arciuch","doi":"10.1117/12.2536698","DOIUrl":null,"url":null,"abstract":"The article proposes a method that allows simultaneous identification of many optical signatures used for the optical control in augmented reality systems. Optical signatures are generated using appropriately coded laser pulse sequences. The developed method of identifying optical signatures allows to identify individual series of laser pulses and is based on the analysis of video sequence of images. This is an important enhancement in relation to the systems used to cooperate with objects in the augmented reality environment.","PeriodicalId":50449,"journal":{"name":"Fiber and Integrated Optics","volume":"16 1","pages":"112040A - 112040A-4"},"PeriodicalIF":2.3000,"publicationDate":"2019-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fiber and Integrated Optics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1117/12.2536698","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0

Abstract

The article proposes a method that allows simultaneous identification of many optical signatures used for the optical control in augmented reality systems. Optical signatures are generated using appropriately coded laser pulse sequences. The developed method of identifying optical signatures allows to identify individual series of laser pulses and is based on the analysis of video sequence of images. This is an important enhancement in relation to the systems used to cooperate with objects in the augmented reality environment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
增强现实系统的光学特征识别
本文提出了一种可以同时识别增强现实系统中用于光学控制的多个光学特征的方法。光学特征是使用适当编码的激光脉冲序列产生的。所开发的识别光学特征的方法允许识别单个系列的激光脉冲,并基于对图像的视频序列的分析。这是与增强现实环境中用于与对象合作的系统相关的重要增强。
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 去求助
来源期刊
CiteScore
3.40
自引率
0.00%
发文量
4
审稿时长
>12 weeks
期刊介绍: Fiber and Integrated Optics , now incorporating the International Journal of Optoelectronics, is an international bimonthly journal that disseminates significant developments and in-depth surveys in the fields of fiber and integrated optics. The journal is unique in bridging the major disciplines relevant to optical fibers and electro-optical devices. This results in a balanced presentation of basic research, systems applications, and economics. For more than a decade, Fiber and Integrated Optics has been a valuable forum for scientists, engineers, manufacturers, and the business community to exchange and discuss techno-economic advances in the field.
期刊最新文献
Investigation of Dual-Layer Si-ITO-Dielectric Based Hybrid Plasmonic Electro-Absorption Modulator at 1.55 µm Wavelength Theoretical and Practical Bounds on the Initial Value of Clock Skew Compensation Algorithm Immune to Floating-Point Precision Loss for Resource-Constrained Wireless Sensor Nodes Enhancing the Secure Transmission of Data Over Optical Fiber Networks from Source to Destination Optimizing Energy Resources in WSNs: ARIMA Feature Selection Meets Adaptive Reinforcement Learning Digitalized Radio over Fiber Network-Based Sigma Delta Modulation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1