DocumentCode :
3025875
Title :
The camera calibration of binocular vision measurement based on OpenCV
Author :
Ying Wu ; Yun-song Hua ; Xu Chao
Author_Institution :
Coll. of Opt.-Electr. & Comput. Eng., USST, Shanghai, China
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
1835
Lastpage :
1839
Abstract :
This paper has built a binocular stereo vision measurement system by connecting two CMOS cameras to the IPC using digital image acquisition card. This method sets fixed points through taking images from video camera. It uses the camera model of open source computer vision library (OpenCV) to eliminate the effects of radial and tangential distortion, and then the coordinates and proportion relations between actual objects and images are obtained. First of all, taking the image of checkerboard calibration template as the input in Visual Studio 2010 development platform, this method could get the internal and external parameters of camera. Then, the method of re-projection could obtain calibration error. Finally, the calibration error is analyzed to determine if they are practical. Experiments show that: the process of calibration is efficient and fast; the total average error is within 0.2 pixels. So it completely satisfies the requirement of measurement system.
Keywords :
CMOS image sensors; calibration; cameras; computer vision; measurement systems; public domain software; software libraries; stereo image processing; video signal processing; CMOS cameras; IPC; OpenCV; Visual Studio 2010 development platform; binocular stereo vision measurement system; calibration error; camera calibration; checkerboard calibration template image; digital image acquisition card; open source computer vision library; radial distortion; reprojection method; tangential distortion; video camera; Calibration; Cameras; Computers; Machine vision; Three-dimensional displays; Vectors; Visualization; Binocular stereo vision; Calibration error; OpenCV; The camera calibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
Type :
conf
DOI :
10.1109/MEC.2013.6885351
Filename :
6885351
Link To Document :
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