期刊文献+

基于投影变换的图像测量系统标定 被引量:3

Calibration of image measurement system based on perspective transform
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摘要 图像测量系统标定是计算机视觉获取三维信息的前提和基础。为了进一步提高标定精度和速度,提出了一种新的基于投影变换标定法。首先,构造模版图像,将该图像经投影变换得到无畸变图像,然后,将其与由原始图像经消除畸变后所得的无畸变图像进行对比,通过差值来确定畸变模型系数。在求出畸变模型的基础上,再求解其他相机参数。该方法迴避了传统方法繁多的迭代步骤,避免了由于初始参数的估计不准所产生的误差,具有直观、精确和相对快速等优点。并通过实验仿真,验证了该算法的可行性与准确性。 The calibration of image measurement system is the basis and prerequisite of acquiring 3D information adopting computer vision technology. A new technique for improving the accurary and speed of image measurement system calibration based on perspective transform method is presented. This technique utilizes the difference between the image processed by using perspective transform with distortion and the constructed simulation nodistortion image to ascertain the coefficient of distortion models. Then on the basis of distortion models continue to figure out other camera parameters. This technique evades the iterate method adopted by the traditional methods, and avoid the errors brought by the estimation of original parameters. It is fast, straightforward, accurate, effective and with practical.
出处 《传感器与微系统》 CSCD 北大核心 2006年第3期77-80,共4页 Transducer and Microsystem Technologies
基金 国家自然科学基金资助项目(60372073)
关键词 图像测量系统标定 投影变换 机器视觉 calibration of image measurement system perspective transform computer vision
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参考文献5

  • 1Hartley R,Zisserman A.Multiple View Geometry in Computer Vision[M].UK:Cambridge University Press,2000.87.
  • 2Zhang Z.A flexible new technique for camera calibration[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22 (11):1330-1334.
  • 3Chen Da-zhi,Zhang Guang-jun.A New Sub-Pixel Detector for X-Corners in Camera Calibration Targets[C].WSCG SHORT papers proceedings,ISBN 80-903100-9-5,Bohemia Czech Republic:University of West Bohemia Press,January 31-February 4,2005.97-100.
  • 4杨柳,陈艳萍.一种新的Levenberg-Marquardt算法的收敛性[J].计算数学,2005,27(1):55-62. 被引量:41
  • 5胡国元,何平安,王宝龙,郧建平.视觉测量中的相机标定问题[J].光学与光电技术,2004,2(3):9-12. 被引量:17

二级参考文献19

  • 1[1]A.Fusiello.Uncalibrated Euclidean reconstruction: a review.Image and Vision Computing,2000(18),pp: 555~563.
  • 2[2]Z.Zhang.A flexible new technique for camera calibration.IEEE Trans.PAMI,Vol.22,No.11,pp: 1330~1334,Nov 2000.
  • 3[3]M.Ito.Robot vision modeling-camera modeling and camera calibration,Adv.Robotics ,5(1991),pp: 321~335.
  • 4[4]G.-Q.Wei,S.De Ma.Implicit and explicit camera calibration: Theory and experiment.IEEE Trans.Pattern Anal.Mach.Intell.16(1994),pp: 469~480.
  • 5[5]Z.Hong,J.Yang.An algorithm for camera calibration using a three-dimensional reference point.Pattern Recognition,26(1993),pp: 1655~1660.
  • 6[6]S.Chen,W.Tsai.A systematic approach to analytic determination of camera parameters by line features.Pattern Recognition,23(1990),pp:859~877.
  • 7[7]C.C.Stama,C.Theurer,S.W.Henriksen.Manual of Photogrammetry,4th Edition.American Society of Photogrammetry,Falls Church,VA,1980.
  • 8[8]O.D.Faugeras,G.Toscani.The calibration problem for stereo.Proceedings of the IEEE Computer Vision and Pattern Recognition,1986,pp: 15~20.
  • 9[9]R.Y.Tsai.A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses.IEEE Int.J.Robot.Automat,RA-3(1987),pp: 323~344.
  • 10[10]J.Weng,P.Cohen,M.Herniou.Camera calibration with distortion models and accuracy evaluation.IEEE Trans,Pattern Anal,Mach,Intell,14(1992),pp: 965~980.

共引文献56

同被引文献21

  • 1章海涛,程维明.一种基于图像处理的亚像素测量方法[J].上海大学学报(自然科学版),2005,11(5):485-489. 被引量:6
  • 2Sofiane Ramdani,Frederic Bouchara, Khalifa Djemal.Probability distribution of sub-pixel edge position [J].Signal Processing, 2004,84(3):445-452.
  • 3GRJ Cooper, Cowan D R.The detection of circular features in irregularly spaced data[J].Computers and Geosciences,2004,30 (1):101-106.
  • 4Leandro A F Fernandes,Manuel M Oliveira. Real-time line detection through an improved Hough transform voting scheme [J]. Pattern Recognition,2008,41 (1):399-314.
  • 5Djekoune O,Achour K.Incremental Hough transform:an improved algorithm for digital device implementation [J]. Real-Time Imaging,2004,10(6):351-363.
  • 6Pater Z B. A study of cross wedge rolling process [J]. Jour nal of Materials Processing Technology, 1998, 80 - 81: 370 - 375.
  • 7Pater Z B. Numerical simulation of the cross wedge rolling process including upsetting [J]. Journal of Materials Pro cessing Technology, 1999, 92 - 93:468 - 473.
  • 8Urankar, Lovell M, Morrow C. Establishment of failure conditions for the cross-wedge rolling of hollow shafts [J]. Journal of Materials Processing Technology, 2006, 177: 545 - 549.
  • 9Dong Yao-min, Lovell M, Kavch Tagavi. Analysis of inter- facial slip in cross-wedge rolling: an experimentally verified finite-element model[J]. Journal of Materials Processing Technology, 1998, 80 - 81:273 - 281.
  • 10辛登科,张玉杰,苏治果.图像处理在粉末粒度在线检测系统中的应用[J].计算机工程与设计,2008,29(13):3510-3512. 被引量:3

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