DocumentCode :
2491120
Title :
The application of camera calibration methods based on structured-light measurement
Author :
Feng, Xiuxia ; Cao, Maoyong ; Wang, Haixia ; Collier, Michael
Author_Institution :
Coll. of Inf. & Electr. Eng., Shandong Univ. Sci. of Technol., Qingdao
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
5090
Lastpage :
5094
Abstract :
There are two steps in using 3D computer vision to extract metric information from 2D images. Camera calibration is the first step, and this paper analyses and compares the three popular calibration methods: typical linear calibration, Tsaipsilas two-stage calibration and Zhangpsilas planar pattern calibration by measuring the position of space points. It is concluded that Zhangpsilas method has the best practicability and validity, and this has been verified by experiment. In the structured light vision system, the accuracy of center position of the stripe is of great importance for that of the whole measuring system. Processing the image of stripe is the second important step. We adopted an improved arithmetic based on Harris to extract the points of the planar pattern. At last, using it to obtain a cylinderpsilas radius and prove it simple and available.
Keywords :
calibration; cameras; computer vision; 2D images; 3D computer vision; Tsai two-stage calibration; Zhang planar pattern calibration; camera calibration; linear calibration; metric information; structured light vision system; structured-light measurement; Application software; Arithmetic; Calibration; Cameras; Computer vision; Mathematical model; Mathematics; Robot vision systems; Size measurement; Solid modeling; Calibration; Harris arithmetic; Image processing; Non-contact detection; Structured-Light;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593755
Filename :
4593755
Link To Document :
بازگشت