期刊文献+

稳定高精度的双目立体视觉测量系统标定方法 被引量:1

Accurate and stable calibration technique for binocular stereo measurement system
下载PDF
导出
摘要 为了提高和稳定双目立体视觉结构光测量系统的精度,提出一种简单有效的标定流程及基于极线几何约束优化双目立体视觉结构光测量系统外部参数的方法。采用平面板标定理论分别标定左右摄像机的内部参数,将标定的内参数作为双目标定的内参数在多视角下标定双目测量系统的外部参数。利用极线几何约束,通过最小化多视角下同一对应点的极线误差,优化计算双目测量系统的外部参数。实验结果表明,该方法计算得到的双目测量系统参数使得测量系统在整个测量空间体积内的测量精度高且稳定,在双目立体视觉测量系统的工业化检测应用中具有重要的意义。 This paper is targeted at improving accuracy and stabilization of binocular stereo measurement system and presents a simple and effective calibration procedure and an external parameter optimizing method based on epipolar geometry.The method consists of calibrating the internal parameter of left and right camera respectively using the planar calibration method,calibrating the external parameter of the binocular stereo measurement system in every view using the parameters as initial value,and computing optimization result by minimizing epipolar line error of the same pair of points in every view.Experimental results that the method could produce binocular measurement system parameters which give the measurement system a higher and more stable precision in the whole measurement space volume and promises to play an important part in industrialized detection and application of the binocular stereo vision measurement system.
出处 《黑龙江科技学院学报》 CAS 2013年第5期463-468,共6页 Journal of Heilongjiang Institute of Science and Technology
基金 国家科技重大专项项目(2010ZX04016-012) 黑龙江省教育厅科学技术研究项目(12531601)
关键词 双目立体视觉 结构光 测量 系统标定 极线几何 binocular stereo structure light measurement system calibration epipolar geometry
  • 相关文献

参考文献8

  • 1VO M,WANG Z,PAN B,et al.Hy per-ac curate flexible calibration technique for fringe projection based three dimensional imaging[J].Optics Express,2012,20(15):16926-16941.
  • 2CHEN F,BROWN G M,SONG M.Overview of three-dimensional shape measurement using optical methods[J].Optical Engineering,2000,39(1):10-22.
  • 3BRADLEY D,BOUBERKEUR T,HEIDRICH W.Accurate multiview reconstruction using robust binocular stereo and surface meshing[C]//Computer Vision and Pattern Recognition.Anchorage,AK:IEEE,2008:1-8.
  • 4ZHANG Z.A flexible new technique for camera calibration[J].Pattern Analysis and Machine Intelligence,IEEE Transactions on,2000,22(11):1330-1334.
  • 5ZAHARESCU A,HORAUD R,RONFARD R,et al.Multiple camera calibration using robust perspective factorization[C]//3D Data Processing,Visualization and Transmission,Third International Symposium on.Chapel Hill,NC:IEEE.2006:504-511.
  • 6薛俊鹏,苏显渝,肖永亮,刘晓青.基于双目视觉的光束法平差新算法[J].光电子.激光,2011,22(6):888-892. 被引量:12
  • 7FURUKAWA Y,PONCE J.Accurate camera calibration from multi-view stereo and bundle adjustment[J].International Journal of Computer Vision,2009,84(3):257-268.
  • 8侯俊捷,魏新国,孙军华.基于同心圆合成图像匹配的双目视觉标定[J].光学学报,2012,32(3):148-153. 被引量:27

二级参考文献28

  • 1Mouragnon E, Lhuillier M, Dhome M, et al. Generic and real- time structure from motion using local bundle adjustment[J]. Image and Vision Computing,2009,27(8) :]178-1198.
  • 2Marsik Z, Tomsa K. Simultaneous bundle adjustment of the quadruplet[J]. Studia Geophysica et Geodaetica, 1975,19(2) : 115-120.
  • 3Gonalves N,Arajo H. Estimating parameters of noncentral cata- dioptric systems using bundle adjustment[J]. Comput Vis Im- age Und, 2009,113 : 11-28.
  • 4Han Y. Relations between bundle-adjustment and epipolar-ge- ometry-based approaches, and their applications to efficient structure from motion[J]. Real-Time Imaging, 2004, 10: 389- 402.
  • 5Triggs B, Mclauchlan P, Hartley R, et al. Bundle adjustment-A modern synthesis[M]. Vision Algorithms:Theory and Practice, 2000,1883 : 298-372.
  • 6Lourakis M I A,Argyros A A. SBA:A software package for ge- neric sparse bundle adjustment[ J]. ACM Trans. Math. Softw, 2009,36(1) : 1-30.
  • 7Predmore. Bundle adjustment of multi-position measurements using the Mahalanobis distance [J]. Precision Engineering, 2010,34 : 113-123.
  • 8R.Y.Tsai.A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TVcameras and lenses[J].IEEE Trans.Robotics and Automation,1987,3(4):323-344.
  • 9Z.Zhang.A flexible new technique for camera calibration[J].IEEE Trans.Pattern Analysis and Machine Intelligence,2000,22(11):1330-1334.
  • 10J.Heikkila.Moment and curvature preserving technique foraccurate ellipse boundary detection[C].Proc.14th Int′l Conf.Pattern Recognition,1998,734-737.

共引文献37

引证文献1

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