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基于平面变换的高精度相机标定方法 被引量:12

Calibration method for high precision camera based on plane transformation
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摘要 针对传统方法未考虑透视偏差的存在,提取椭圆圆心作为真实物理圆心投影点造成相机标定误差的问题,提出了一种基于平面变换的高精度相机标定方法。提取标定板内外边框上的角点,对标定板进行平面变换,将标记点由椭圆投影成近似的标准圆;利用图像矩提取标准圆圆心的坐标,投影回原标定板平面,得到标记点实际圆心的像素坐标;根据圆形标记点实际圆心的坐标,利用张正友标定法完成相机标定。实验结果表明:与传统方法相比,所提方法将相机标定的误差降低了66.169%,有效提高了相机标定的精度。 Traditional methods do not consider the existence of perspective deviation,and usually extract the center of the ellipse as the projection point of a real physical center,resulting in camera calibration errors.A calibration method for high precision cameras was proposed based on plane transformation.The corner points on the inner and outer borders of the calibration plate were extracted to carry out the plane transformation of the calibration plate,and the marked points were projected from ellipses into approximate standard circles.The coordinates of the center of the standard circle were extracted by image moments,and were projected back to the plane of the original calibration plate to obtain the pixel coordinates of the actual center of the marked points.According to the coordinates of the actual center of the circular markers,the Zhang Zhengyou calibration method was used to complete the camera calibration.Experimental results show that compared thus the traditional method,the proposed method reduced the camera calibration error by 66.169%,thus effectively improving the camera calibration accuracy.
作者 彭妍 郭君斌 于传强 柯冰 PENG Yan;GUO Junbin;YU Chuanqiang;KE Bing(Missile Engineering Institute,Rocket Force University of Engineering,Xi'an 710025,China;Equipment Department of Rocket Force,Beijing 100089,China)
出处 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2022年第7期1297-1303,共7页 Journal of Beijing University of Aeronautics and Astronautics
基金 国家自然科学基金(61501470)。
关键词 相机标定 张正友标定 圆形标记点 圆心检测 透视变换 camera calibration Zhang Zhengyou calibration circular marker circular center detection perspective transformation
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  • 1郭玉波,姚郁,遆晓光.基于空间矩的圆标记中心亚像素定位算法[J].吉林大学学报(工学版),2009,39(1):160-163. 被引量:12
  • 2罗明.机器视觉多传感器检测系统及其应用研究:[博士学位论文].天津:天津大学,1996. 被引量:1
  • 3F 罗伊特.画法几何学[M].北京:机械工业出版社,1991.. 被引量:1
  • 4余俊,林家明,杨建宇,张旭升,沙定国.基于新型靶的CCD摄像系统畸变测量与校正[J].光学学报,2007,27(8):1440-1442. 被引量:29
  • 5W.A. Perkins. INSPECTOR:a computer vision system which learns to inspect parts. IEEE Trans on PAMI,1986,5 : 584~ 592. 被引量:1
  • 6A.M. Wallace. Industrial application of computer vision since 1982. IEEE Proceedings, 1988,135 (3) ~ 117~ 136. 被引量:1
  • 7Jong-Soo Lee, Yu-Ho Jeong. CCD Camera Calibration and Projection Error Analysis. IEEE Trans on PAMI,2000,35 (i) .. 50~55. 被引量:1
  • 8Janne Heikkila ,Olli Silv6n. A Four-step Camera Calibration Procedure with Implicit Image Correction. International Conf. On Computer Vision and Pattern Recognition , 1997(From intenet ). 被引量:1
  • 9Yang H, Zhang S, Guo G, et al. Key techniques for vision measurement of 3D object surface [C]// Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence. Beijin, China: SPIE, 2006: 63571Z. 被引量:1
  • 10Zhang Z. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334. 被引量:1

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