期刊文献+

水电枢纽水下摄像数据的畸变机理及标定研究

Research on Distortion Mechanism and Calibration of Underwater Photography of Dam
下载PDF
导出
摘要 水电枢纽建筑物水下检测的方法中,水下摄像是一种易用和直观的方法,但水下摄像数据研究往往忽视水下畸变,给水下缺陷分析和水下三维重建带来不可忽视的偏差。从成像原理的角度分析了水下成像过程中畸变的产生原理和基本特性;以某电站消力池边墙水下拍摄为试验目标,采用张正友标定法和MatLab工具箱进行了水下相机的参数标定,并使用相机参数对水下拍摄的边墙图像进行了矫正。通过重投影误差偏差和露骨料像素值偏差的对比分析,证实该标定方法有效性以及水下畸变的径向特征,为进一步的精确量化分析提供了基础。 Underwater photography was an easy and intuitive method in underwater detection of hydropower junction buildings,but in the study of underwater photographic data,underwater distortion was often neglected,which brings undeniable deviation to underwater defect analysis and underwater three-dimensional reconstruction.In this paper,the principle and basic characteristics of distortion in underwater imaging were analyzed from the perspective of imaging principle.Taking underwater photography of side wall of stilling basin of a power station as experimental object,the parameters of underwater camera are calibrated by Zhang Zheng-you calibration method and MatLab toolbox,and the parameters of the camera are used to correct the underwater side wall images.The validity of the calibration method and the radial characteristics of underwater distortion are verified by comparing the re-projection error deviation with the exposed aggregate pixel value deviation,which provides a basis for further accurate quantitative analysis.
作者 李永龙 张华 王皓冉 齐宪荣 汪双 LI Yong-long;ZHANG Hua;WANG Hao-ran;QI Xian-rong;WANG Shuang(School of Information and Engineering,Southwest University of Science and Technology,Mianyang 621000,China;Sichuan Energy Internet Research Institute,Tsinghua University,Chengdu 610000,China;State Key Lab.of Hydroscience and Engineering,Tsinghua University,Beijing 100841,China;Jialing River Tingzikou Water Conservancy and Hydropower Development Co.,Ltd.,Guangyuan 628400,China)
出处 《自动化与仪表》 2019年第12期75-79,共5页 Automation & Instrumentation
基金 四川省科技计划资助项目(2018JZ0001,2018GZDZX0043,2019YFG0143)
关键词 标定方法 水下拍摄 畸变机理 消力池 水电枢纽 calibration method underwater photography distortion mechanism stilling basin hydropower junction
  • 相关文献

参考文献4

二级参考文献23

  • 1马颂德 张正友.计算机视觉[M].北京:科学出版社,1998.72-80.
  • 2Z Y Zhang. A flexible new technique for camera calibration [J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334.
  • 3J Y Bouguet, P Perona. Camera calibration from points and lines in dual-space geometry [C]. European Conference on Computer Vision, 1998. 2-6.
  • 4J C Kinsey, L L Whitcomb. In situ alignment calibration of attitude and doppler sensors for precision underwater vehicle navigation: Theory and experiment [J]. IEEE Journal of Oceanic Engineering, 2007, 32(2): 286-299.
  • 5G Troni, J C Kinsey, D R Yoerger, et al.. Field performance evaluation of new methods for in-situ calibration of attitude and doppler sensors for underwater vehicle navigation [C]. IEEE International Conference on Robotics and Automation, Minnesota, 2012. 5334-5339.
  • 6N S Kumar, B L Mukundappa, K P Ramakanth. Design & development of autonomous system to build 3D model for underwater objects using stereo vision technique [C]. International Journal of Advances in Engineering & Technology, 2011, 1(4): 34-38.
  • 7T Rahman, J Anderson, P Winger, et al.. Calibration of an underwater stereoscopic vision system [C]. Oceans MTS/IEEE San Diego, 2013. 1-6.
  • 8李钟群,孙从炎,蒋晓旺,葛双成.水下机器人在浙江省水库大坝检测中的初步应用[J].浙江水利科技,2010,38(3):57-59. 被引量:18
  • 9薛俊鹏,苏显渝.基于两个正交一维物体的单幅图像相机标定[J].光学学报,2012,32(1):145-151. 被引量:33
  • 10张晏方,邓勇,毕文焕,黄伟.水下隐蔽工程检测技术在长江航道整治工程中的应用[J].水运工程,2012(10):143-147. 被引量:16

共引文献31

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部