Vision‐based displacement measurement using a camera mounted on a structure with stationary background targets outside the structure

计算机视觉 人工智能 流离失所(心理学) 摄像机自动校准 摄像机切除 特征(语言学) 由运动产生的结构 计算机科学 跟踪(教育) 职位(财务) 针孔相机模型 运动(物理) 运动场 校准 摄像机矩阵 智能摄像头 数学 哲学 财务 经济 心理学 教育学 统计 心理治疗师 语言学
作者
Yun-Woo Lee,Geonhee Lee,Do Soo Moon,Hyungchul Yoon
出处
期刊:Structural control & health monitoring [Wiley]
卷期号:29 (11) 被引量:24
标识
DOI:10.1002/stc.3095
摘要

While structural displacements are essential information for structural health monitoring, they are not being widely used in practice due to the inconvenience. Recently, vision-based displacement measurement methods have been introduced, which are more convenient and cost effective. However, vision-based methods have generally not been used primarily for the continuous monitoring of structures, due to spatial constraints on obtaining an appropriate location to secure the field of view. A vision device shows not only the changes of objects in the scene but also the relative changes of view according to changes in the position to which it is mounted. Accordingly, this study proposes a methodology for measuring the structural displacement of a location where a camera is mounted, based on a camera motion-induced relative view change. The method is organized into three steps. First, camera calibration is conducted with background targets to derive the camera parameters and coordinates of the target feature points. Second, by tracking the relative changes in the feature points according to the camera motion, the changed 2D-image coordinates of the points are derived. Third, the displacement is calculated through the relationship between the changed 2D-image coordinates and fixed 3D-world coordinates of the target feature points using the camera parameters. The changes in view according to the camera motion are analyzed with simulation tests, and the applicability of the proposed method is verified through experimental tests. The results show that the proposed method can be used to rationally measure structural displacements.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yxrose完成签到,获得积分10
刚刚
枝杲完成签到,获得积分20
刚刚
ws发布了新的文献求助10
1秒前
潇洒的秋荷完成签到,获得积分10
1秒前
yml完成签到 ,获得积分10
1秒前
ssjk完成签到,获得积分10
1秒前
jojo完成签到 ,获得积分10
1秒前
leleay发布了新的文献求助10
1秒前
2秒前
vitamin发布了新的文献求助10
2秒前
冬瓜完成签到,获得积分10
2秒前
风中虔纹完成签到,获得积分10
2秒前
lumos发布了新的文献求助10
2秒前
甜甜芾完成签到,获得积分10
2秒前
2秒前
汉堡包应助马甲甲采纳,获得50
3秒前
xiaofeixia完成签到 ,获得积分10
3秒前
liang完成签到 ,获得积分10
3秒前
3秒前
3秒前
Lucas应助明理夜山采纳,获得10
3秒前
3秒前
4秒前
lin完成签到,获得积分10
4秒前
Happy完成签到 ,获得积分10
4秒前
5秒前
6秒前
含蓄的小丸子完成签到,获得积分10
6秒前
NexusExplorer应助白椋采纳,获得10
7秒前
单春栋完成签到,获得积分10
7秒前
畅快的长颈鹿完成签到,获得积分10
7秒前
ljz910005完成签到,获得积分10
7秒前
7秒前
仝富贵发布了新的文献求助10
7秒前
子衿发布了新的文献求助10
8秒前
8秒前
上官听白发布了新的文献求助20
8秒前
shirley完成签到,获得积分10
8秒前
段汶完成签到,获得积分10
8秒前
111发布了新的文献求助20
9秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4009429
求助须知:如何正确求助?哪些是违规求助? 3549323
关于积分的说明 11301690
捐赠科研通 3283833
什么是DOI,文献DOI怎么找? 1810413
邀请新用户注册赠送积分活动 886275
科研通“疑难数据库(出版商)”最低求助积分说明 811301