期刊文献+

一种基于单幅图像双消失点的摄像机标定方法 被引量:2

A Camera Calibration Method Based on Two Vanishing Points in a Single Image
下载PDF
导出
摘要 介绍了摄像机标定的概念和两种经典方法。针对不同的视觉任务要求,提出了一种基于单幅图像双消失点的摄像机标定方法。首先对图像进行一些合理的假设。如图像包含两个消失点、图像中心为摄像机在投影面上的投影中心。通过实验仿真验证,此方法在对摄像机标定精度要求不高的情况下,可以很方便的求解摄像机的参数。 After introducing the concept of camera calibration and two classics methods, a camera calibration method is proposed based on two vanishing points in a single image, aiming at a different visual task. It firstly ad- vanced some reasonable assumptions. Such as the image contains two vanishing points, the image center is the or- thogonal projection of the center of projection of the camera onto the screen plane. Experiments show that the cali- bration method could easily get the camera' s parameters, in the case of the precision is not so high.
作者 崔灿 张国华
出处 《科学技术与工程》 北大核心 2012年第34期9186-9190,共5页 Science Technology and Engineering
关键词 摄像机标定 单幅图像 消失点 camera calibration single image vanishing
  • 相关文献

参考文献8

二级参考文献28

  • 1刘宏建,罗毅,刘允才.可变精度的神经网络摄像机标定法[J].光学精密工程,2004,12(4):443-448. 被引量:13
  • 2李为民,俞巧云,刘超.采用分离式差分标定靶的单摄像机标定方法[J].光学学报,2006,26(5):697-701. 被引量:26
  • 3Roger Y. Tsai. A versatile camera calibration technique for high- accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses[J]. IEEE J. Robot. Autom. , 1987, 3(4): 323-344.
  • 4O. D. Faugeras, Q. T. Luong, S. J. Maybank. Camera sell calibration: theory and experiments[C]. Proc. the 2nd European Conference on Computer Vision Berlin: Springer, 1992, 588:321-334.
  • 5S. Maybank, O. D. Faugeras. A theory of self-calibration of a moving camera[J]. Int. J. Comput. Vision, 1992, 8(2): 123-151.
  • 6R. Hartley. Self-calibration of stationary cameras[J]. Int. J. Cornput. Vision, 1997, 22(1): 5-23.
  • 7Songde Ma. A self-calibration technique for active vision systems [J]. IEEE T. Robot. Aurora. , 1996, 12(1): 114-120.
  • 8X. Q. Meng, H. Li, Z. Y. Hu. A new easy camera calibration technique based on circular ooints[C]. Proc. the British Machine Vision Conference, Bristol: ILES Central Press, 2000, 496- 501.
  • 9R. Hartley. Multiple View Geometry in Computer Vision[M]. London: Cambridge University Press, 2003.
  • 10J. A. Nelder, R. Mead. A simplex method for function minimization[J]. Comput. J., 1965, 7(4): 308-313.

共引文献97

同被引文献15

引证文献2

二级引证文献11

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