Measurement of Distances between Objects by a Series of Images Obtained from Several Shooting Points with a Small Angle Camera

IF 0.5 Q4 PHYSICS, MULTIDISCIPLINARY Optoelectronics Instrumentation and Data Processing Pub Date : 2024-07-29 DOI:10.3103/s8756699024700195
V. P. Kosykh, G. I. Gromilin, N. S. Yakovenko
{"title":"Measurement of Distances between Objects by a Series of Images Obtained from Several Shooting Points with a Small Angle Camera","authors":"V. P. Kosykh, G. I. Gromilin, N. S. Yakovenko","doi":"10.3103/s8756699024700195","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Solving various applied problems often requires reconstructing a three-dimensional scene and determining distances to objects from images taken by cameras from several shooting points. Determining the shooting parameters and camera characteristics (calibration of the recording system) directly from the received images is an important stage of reconstruction, which determines the reliability of the results obtained. Using cameras with a small field of view leads to significant errors in calibration and reconstruction. The paper discusses a way to increase the accuracy of calibration by expanding the angle of view by ‘‘stitching’’ a series of images obtained from one shooting point into a wide-angle panorama. In addition to objects, the panorama must include other shooting points. An example of estimating distances to objects in a real urban scene is given. It is shown that the proposed method provides accuracy comparable to measuring distances on a large-scale map.</p>","PeriodicalId":44919,"journal":{"name":"Optoelectronics Instrumentation and Data Processing","volume":"64 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronics Instrumentation and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3103/s8756699024700195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Solving various applied problems often requires reconstructing a three-dimensional scene and determining distances to objects from images taken by cameras from several shooting points. Determining the shooting parameters and camera characteristics (calibration of the recording system) directly from the received images is an important stage of reconstruction, which determines the reliability of the results obtained. Using cameras with a small field of view leads to significant errors in calibration and reconstruction. The paper discusses a way to increase the accuracy of calibration by expanding the angle of view by ‘‘stitching’’ a series of images obtained from one shooting point into a wide-angle panorama. In addition to objects, the panorama must include other shooting points. An example of estimating distances to objects in a real urban scene is given. It is shown that the proposed method provides accuracy comparable to measuring distances on a large-scale map.

Abstract Image

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
用小角度相机从多个拍摄点获取的一系列图像测量物体之间的距离
摘要 在解决各种应用问题时,往往需要重建三维场景,并根据摄像机从多个拍摄点拍摄的图像确定物体的距离。直接从接收到的图像中确定拍摄参数和相机特性(记录系统的校准)是重建的一个重要阶段,它决定了所获得结果的可靠性。使用小视场的摄像机会导致校准和重建过程中的重大误差。本文讨论了一种提高校准精度的方法,即通过将从一个拍摄点获取的一系列图像 "拼接 "成广角全景图来扩大视角。除物体外,全景图还必须包括其他拍摄点。本文给出了一个估算真实城市场景中物体距离的例子。结果表明,所提出的方法可提供与在大比例尺地图上测量距离相当的精确度。
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
1.00
自引率
50.00%
发文量
16
期刊介绍: The scope of Optoelectronics, Instrumentation and Data Processing encompasses, but is not restricted to, the following areas: analysis and synthesis of signals and images; artificial intelligence methods; automated measurement systems; physicotechnical foundations of micro- and optoelectronics; optical information technologies; systems and components; modelling in physicotechnical research; laser physics applications; computer networks and data transmission systems. The journal publishes original papers, reviews, and short communications in order to provide the widest possible coverage of latest research and development in its chosen field.
期刊最新文献
Event-Discrete Traffic Control Models Principle of Calibrating a Magnetometric Sensor by the Precise Measurement of Change in Its Spatial Position in a Constant Magnetic Field The Required Number of Elements for a Ring Antenna Array Measurement of Distances between Objects by a Series of Images Obtained from Several Shooting Points with a Small Angle Camera Synthesis and Optimization of a Stochastic Algorithm for Image Registration Using Shannon’s Maximum Mutual Information Criterion
×
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