DocumentCode
557726
Title
A calibration methods for Vision measuring system with large view field
Author
Feng Guanming ; Zou Huadong ; Zhu Liangrong ; Nianxiang, Wu
Author_Institution
Dept. of Electron. Eng., Zhejiang Ind. Polytech. Coll., Shaoxin, China
Volume
3
fYear
2011
fDate
15-17 Oct. 2011
Firstpage
1377
Lastpage
1380
Abstract
Images with severe geometrical distortions, which are induced by camera lens and position, must be corrected before extracting quantitative measurements. This paper presents a simple and efficient method of calibrating the intrinsic camera parameters to correct the non-linear distortion. We fix the aperture setting and perform the camera calibration. A plate with many circles is used as the calibration object. These circles are used as the calibration patterns. The centroids of the circles in the image are gotten as the image coordinates of the calibration data. The calibration parameter of measurement system is calculated according to the calibrated points in the center part. Our experiments show that the proposed method can provide accurate intrinsic camera parameters and correct the image distortion.
Keywords
calibration; computer vision; feature extraction; lenses; measurement systems; nonlinear distortion; camera lens; feature extraction; geometrical distortions; image coordinates; image distortion; measurement system; nonlinear distortion; parameter calibration; vision measuring system; Accuracy; Calibration; Distortion measurement; Lenses; Machine vision; Nonlinear distortion; Optical distortion; camera parameter; distortion correction; image segmentation; machine vision; non-linear calibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-9304-3
Type
conf
DOI
10.1109/CISP.2011.6100394
Filename
6100394
Link To Document