Fusion of Time-of-Flight and Phase Shifting for high-resolution and low-latency depth sensing

Yueyi Zhang, Zhiwei Xiong, Feng Wu
{"title":"Fusion of Time-of-Flight and Phase Shifting for high-resolution and low-latency depth sensing","authors":"Yueyi Zhang, Zhiwei Xiong, Feng Wu","doi":"10.1109/ICME.2015.7177426","DOIUrl":null,"url":null,"abstract":"Depth sensors based on Time-of-Flight (ToF) and Phase Shifting (PS) have complementary strengths and weaknesses. ToF can provide real-time depth but limited in resolution and sensitive to noise. PS can generate accurate and robust depth with high resolution but requires a number of patterns that leads to high latency. In this paper, we propose a novel fusion framework to take advantages of both ToF and PS. The basic idea is using the coarse depth from ToF to disambiguate the wrapped depth from PS. Specifically, we address two key technical problems: cross-modal calibration and interference-free synchronization between ToF and PS sensors. Experiments demonstrate that the proposed method generates accurate and robust depth with high resolution and low latency, which is beneficial to tremendous applications.","PeriodicalId":146271,"journal":{"name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Multimedia and Expo (ICME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2015.7177426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

Depth sensors based on Time-of-Flight (ToF) and Phase Shifting (PS) have complementary strengths and weaknesses. ToF can provide real-time depth but limited in resolution and sensitive to noise. PS can generate accurate and robust depth with high resolution but requires a number of patterns that leads to high latency. In this paper, we propose a novel fusion framework to take advantages of both ToF and PS. The basic idea is using the coarse depth from ToF to disambiguate the wrapped depth from PS. Specifically, we address two key technical problems: cross-modal calibration and interference-free synchronization between ToF and PS sensors. Experiments demonstrate that the proposed method generates accurate and robust depth with high resolution and low latency, which is beneficial to tremendous applications.
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
融合飞行时间和相移的高分辨率和低延迟深度传感
基于飞行时间(ToF)和基于相移(PS)的深度传感器各有优缺点。ToF可以提供实时深度,但分辨率有限,对噪声敏感。PS可以在高分辨率下生成准确和健壮的深度,但需要许多导致高延迟的模式。本文提出了一种融合ToF和PS的融合框架,其基本思想是利用ToF的粗深度来消除PS的包裹深度歧义,具体解决了ToF和PS传感器之间的跨模态校准和无干扰同步两个关键技术问题。实验结果表明,该方法能产生准确、鲁棒的深度,具有高分辨率和低延迟,具有广泛的应用前景。
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
自引率
0.00%
发文量
0
期刊最新文献
Affect-expressive hand gestures synthesis and animation VTouch: Vision-enhanced interaction for large touch displays Egocentric hand pose estimation and distance recovery in a single RGB image A hybrid approach for retrieving diverse social images of landmarks Spatial perception reproduction of sound events based on sound property coincidences
×
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