Camera calibration method for close range large field of view camera based on compound target

Liu Wei; Li Xiao; Ma Xin; Jia Zhenyuan; Chen Ling; Liu Weixiao

doi:10.3788/IRLA201645.0717005

A compound target for camera calibration in wind tunnels is developed, solving problems of low precision and high costs caused by a large field of view, small object distance and severe distortions of optical images. Moreover, a camera calibration method for close range photogrammetry system based on different constraints in different regions was presented in this paper. The 1-D calibration frame and 2-D planar in the compound target were utilized to divide the field-of-view into two regions. Based on distinguished constraints offered by the two calibration references, camera intrinsic, extrinsic and distortion parameters for the two regions were calculated respectively. Then the 3-D coordinates of targets can be reestablished with high precision according to the image region where interesting features lie in. In the end, accuracy contrast test and verification test with respect to the proposed calibration method had been conducted. The results show that the root mean square calibration error of inner region is 0.165 and the root mean square calibration error of exterior region is 0.276, verifying that this method is simple, effective and of high accuracy, meeting the precision requirements.

Camera calibration method for close range large field of view camera based on compound target

1. College of Mechanical Engineering,Dalian University of Technology,Dalian 116024,China

Received Date: 2015-11-24

Rev Recd Date: 2015-12-27

Publish Date: 2016-07-25

Key words:

Abstract: A compound target for camera calibration in wind tunnels is developed, solving problems of low precision and high costs caused by a large field of view, small object distance and severe distortions of optical images. Moreover, a camera calibration method for close range photogrammetry system based on different constraints in different regions was presented in this paper. The 1-D calibration frame and 2-D planar in the compound target were utilized to divide the field-of-view into two regions. Based on distinguished constraints offered by the two calibration references, camera intrinsic, extrinsic and distortion parameters for the two regions were calculated respectively. Then the 3-D coordinates of targets can be reestablished with high precision according to the image region where interesting features lie in. In the end, accuracy contrast test and verification test with respect to the proposed calibration method had been conducted. The results show that the root mean square calibration error of inner region is 0.165 and the root mean square calibration error of exterior region is 0.276, verifying that this method is simple, effective and of high accuracy, meeting the precision requirements.

HTML

Reference (15)

[1]	Graves S S, Burner A W. Development of an intelligent videogrammetric wind tunnel measurement system[C]//Proc SPIE, 2001, 4448:120-131.
[2]	Jia Zhenyuan, Ma Xin, Liu Wei, et al. Pose measurement method and experiments for high-speed rolling targets in a wind tunnel[J]. Sensors, 2014, 14(12):23933-23953.
[3]	Liu Wei, Shang Zhiliang, Ma Xin, et al. Position and attitude measuring method of auxiliary tank based on color-coding method in wind tunnel environment[J]. Acta Aeronautica et Astronautica Sinica, 2014, 36(5):1156-1563. (in Chinese)刘巍, 尚志亮, 马鑫, 等. 基于彩色编码的副油箱风洞模型位姿测量方法[J]. 航空学报, 2014, 36(5):1156-1563.
[4]	Thomas W J, Charles B L. A photogrammetric system for model attitude measurement in hypersonic wind tunnels[C]//AIAA, 2007, 1164:1-10.
[5]	Charles V S, Jennifer H, Thomas G I, et al. Assessing videogrammetry for static aeroelastic testing of a wind-tunnel model[C]//AIAA, 2004, 1677:1-10.
[6]	Martinez1 B, Bastide M, Wey P. Free flight measurement technique in shock tunnel[C]//AIAA, 2014, 2523:1-12.
[7]	Sant Y L, Mignosi A, Delglise B. Model deformation measurement(MDM) at Onera[C]//AIAA, 2007, 3817:1-11.
[8]	Kushner L K, Littelly J, Cassellz A. Photogrammetry of a hypersonic inflatable aerodynamic decelerator[C]//AIAA, 2013, 1284:1-15.
[9]	Kalpoe D, Khoshelham K, Gorte B. Vibration measurement of a model wind turbine using high speed photogrammetry[C]//Proc SPIE, 2011, 8085:80850J1-80850J11.
[10]	Park H S, Kim J Y, Kim J G, et al. A new position measurement system using a motion-capture camera for wind tunnel tests[J]. Sensors, 2013, 13(9):12329-12344.
[11]	Wang Zichen, Dai Ming, Li Gang, et al. Calibration and analysis of line-scan camera based on virtual stereo pattern[J]. Infrared and Laser Engineering, 2014, 43(3):903-907. (in Chinese)王子辰, 戴明, 李刚, 等. 基于虚拟立体靶标的线阵相机标定与分析[J]. 红外与激光工程, 2014, 43(3):903-907.
[12]	Niu Haitao, Zhao Xunjie. New method of camera calibration based on checkerboard[J]. Infrared and Laser Engineering, 2011, 40(1):133-137. (in Chinese)牛海涛, 赵勋杰. 采用棋盘格模板的摄像机标定新方法[J]. 红外与激光工程, 2011, 40(1):133-137.
[13]	Hu Hao, Liang Jin, Tang Zhengzong, et al. Global calibraton for muti-camera videogrammetric system with lager field of view[J]. Opt Precision Eng, 2012, 20(2):369-378. (in Chinese)胡浩, 梁晋, 唐正宗, 等. 大视场多像机视频测量系统的全局标定[J]. 光学精密工程, 2012, 20(2):369-378.
[14]	Zhang Zhengyou. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11):1330-1334.
[15]	Zhang Zhengyou. Camera calibration with one-dimensional objects[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(7):892-899.

Camera calibration method for close range large field of view camera based on compound target

doi: 10.3788/IRLA201645.0717005

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Related

Proportional views