Decoupling calibration method of long focal length camera using vanishing point

摄像机自动校准 摄像机切除 焦距 计算机视觉 人工智能 计算机科学 校准 亚像素渲染 失真(音乐) 针孔相机模型 视野 照相机镜头 光学 镜头(地质) 数学 物理 像素 统计 放大器 带宽(计算) 计算机网络
作者
Liqiang Xie,Haoran Liu,Quanxin Liu,Yongjie Liu,Wu Wang,Zhenmin Zhu,Weihua Zheng,Longcheng Cai
出处
期刊:Optical Engineering [SPIE]
卷期号:62 (03) 被引量:1
标识
DOI:10.1117/1.oe.62.3.034106
摘要

Optical measurement and perception technology is widely used in the field of smart energy. The accurate calibration of the internal and external parameters of the camera in the optical system is very important for the application of the system in three-dimensional (3D) reconstruction and geometric measurement. At present, the mainstream camera calibration methods include Zhang’s calibration method and Tsai’s calibration method. These methods all choose to calculate the distortion parameters together with the camera’s internal parameters. For long focal length and narrow-field-of-view cameras with smaller perspective distortion, the coupling calculation of parameters may cause inaccurate calibration parameters and more time-consuming problems. To improve the calibration accuracy of the long focal length camera, we propose an efficient noniterative camera calibration method, based on the equation relationship between the vanishing point coordinates and the first-order single-parameter division lens distortion coefficient, and based on the radial distortion separation model as well as the corner subpixel coordinates and checkerboard 3D space points. The spatial point correspondence is solved to obtain the homography matrix to complete the calculation of the internal parameters of the camera. Our work has potential applications in photovoltaic troubleshooting and intelligent inspection. It may also contribute to the practical application of the sensor in intelligent energy.
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
丘比特应助程爽采纳,获得10
1秒前
FG发布了新的文献求助10
1秒前
1秒前
2秒前
2秒前
耍酷紫菜发布了新的文献求助20
2秒前
2秒前
巧克力曲奇完成签到,获得积分20
3秒前
ZhangZaikuan完成签到,获得积分10
3秒前
3秒前
乐乐应助靓丽的魔镜采纳,获得10
3秒前
3秒前
4秒前
苏柏亚完成签到,获得积分20
4秒前
6秒前
英俊的铭应助cangye采纳,获得10
6秒前
周萌发布了新的文献求助10
6秒前
7秒前
飞云发布了新的文献求助10
7秒前
7秒前
7秒前
8秒前
9秒前
小蘑菇应助筱甜采纳,获得10
9秒前
大模型应助落月铭采纳,获得10
9秒前
9秒前
独特南霜发布了新的文献求助10
10秒前
英俊的铭应助寻梦采纳,获得30
10秒前
10秒前
yaya发布了新的文献求助30
11秒前
ding应助正直的冰香采纳,获得10
11秒前
wangs发布了新的文献求助10
11秒前
樱悼柳雪发布了新的文献求助10
12秒前
从容的无极完成签到,获得积分10
13秒前
zengwr完成签到 ,获得积分10
13秒前
14秒前
14秒前
opq856完成签到 ,获得积分10
14秒前
酷波er应助奔波儿灞采纳,获得10
15秒前
zgm断翅蝴蝶完成签到,获得积分10
15秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
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 3961655
求助须知:如何正确求助?哪些是违规求助? 3507998
关于积分的说明 11139004
捐赠科研通 3240407
什么是DOI,文献DOI怎么找? 1790947
邀请新用户注册赠送积分活动 872683
科研通“疑难数据库(出版商)”最低求助积分说明 803306