Monocular Computer Vision Image Calibration Method and Its Application

摘要：

Big error of locating control points of anamorphic vision image calibration cause it difficult to calibrate of dynamic image automatically and accurately. Accordingly, a new calibrating method based on pattern matching is put forward. It locates the control points accurately; and builds the polynomial modeling of the anamorphic image, chooses the optimum polynomial order and calibrates the image distortion with bilinear interpolation. Apply the calibrating method to steel level measurement in continuous casting tundish base on compute visiori; the method achieves quick and accurate calibration of image in steel Level measurement. The results show that the error between measuring and real steel level is about 20mm before calibration; then it comes to 0.6mm after calibration. It provides an important link of image preprocessing to monocular computer vision measuring system.

关键词： image drstortion pattern matching control point calibration steel level measurement

作者: Jun Liu Dingguo Li Zhenwei Hu Zhi Xie

作者单位: School of Information Science and Engineering,Northeastem University,Shenyang,China School of Nuclea School of Nuclear Engineering and Technology,East China Institute of Technology,Fuzhou,China School of Information Science and Engineering,Northeastem University,Shenyang,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 144-147

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）