期刊文献+

基于共线点的镜头畸变校正方法 被引量:5

Lens distortion correction method based on collinear points
下载PDF
导出
摘要 为实现未知摄像机参数的镜头畸变校正,提出了一种先标定畸变中心、再标定畸变系数的方法。先在镜头的不同焦距处对靶标成两次像,利用相同靶标点在两幅图像中的相对位置关系求解畸变中心;再根据直线的透视投影不变性,通过变步长的最优化方法搜索畸变系数。模拟实验表明,在靶标点数为25,噪声水平为0.2像素时,畸变中心的平均误差为(0.2243,0.1636)像素,畸变系数误差为0.28%。真实图像实验表明,用该方法得到的畸变中心和畸变系数能够很好地校正图像。该方法不需要标定摄像机的内外部参数,也无需知道直线网格的世界坐标,简便易行。 To carry out lens distortion correction of unknown camera parameters, a method calibrating distortion center first and distortion coefficient second was proposed. First, with target imaged at two different focal lengths, distortion center could be positioned using relative position relation of the same target points in two pictures; then according to the invariance of line perspective projection, distortion coefficient could be searched by variable step optimization method. The simulation experiment showed that the average error of distortion center was (0.224 3, O. 163 6) pixel, and the distortion coefficient error was 0.28% when target point number was 25, the noise level was 0.2 pixel. Real image experiment shows that distortion center and distortion coefficient obtained by the proposed method can correct the image well. The method is easy to implement, the calibration of camera's internal and external parameters and the knowledge of line grid's world coordinates can be neglected.
出处 《计算机应用》 CSCD 北大核心 2013年第12期3555-3558,共4页 journal of Computer Applications
基金 国家自然科学基金资助项目(50975206)
关键词 畸变中心 畸变系数 图像校正 共线点 标定 摄像机镜头 distortion center distortion coefficient image correction collinear point calibration camera lens
  • 相关文献

参考文献14

二级参考文献47

共引文献127

同被引文献59

  • 1ZHOU G Q. Near real-time orthorectification and mosaic of small UAV video flow for time-critical event response [J]. IEEE Trans. on Geoscience and Remote Sensing, 2009, 47(3):739-746.
  • 2TSAI R Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses[J]. IEEE Journal of Robotics and Automation, 1987, 3(4): 323-344.
  • 3ZHANG Z Y. A flexible new technique for camera calibration[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2000, 11(22): 1330-1334.
  • 4XIANG H T, TIAN L. Method for automatic georeferencing aerial remote sensing (RS) images from an unmanned aerial vehicle (UAV) platform[J]. Biosystems Engineering,2011,108:104-113.
  • 5AI S J, WANG X, MA M CH, et al.. A method for correcting non-linear geometric distortion in ultra-wide-angle imaging system[J]. Optik, 2013 (124) :7014-7021.
  • 6FAISAL B, MATTHEW N D. Automatic radial distortion estimation from a single image[J]. J. Math Imaging Vis, 2013, 45:31-45.
  • 7FITZGIBBON A W. Simultaneous linear estimation of multiple view geometry and lens distortion[C].Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001:125-132.
  • 8CAI J H, STAN M. Automatic curve selection for lens distortion correction using Hough transform energy[C].2013 IEEE Workshop on Applications of Computer Vision (WACV), Tampa, FL, 455-460.
  • 9GOLJAN M, FRIDRICH J. Estimation of lens distortion correction from single images[C]. Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280N.
  • 10MICHAEL S B, YAU C T. Geometric and shading correction for images of printed materials using boundary[J]. IEEE Trans. on Image Processing, 2006, 15(6): 1544-1554.

引证文献5

二级引证文献43

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