Title :
Extraction of the corner of checkerboard image
Author :
Wang, Zhongshi ; Wang, Zhongge ; Xu, Xinhe
Author_Institution :
Sch. of Inf. Eng., Shenyang Univ., Shenyang
Abstract :
The extraction of the internal corners of planar checkerboard pattern image is of vital importance to camera calibration, for the accuracy of camera calibration depends on the accuracy of it. An effective approach is proposed to automatically extract the internal corners of the planar checkerboard calibration pattern image based on the characteristics of local intensity and the grid line architecture of the planar checkerboard pattern image. The proposed procedure consists of the detection of image corners, the recognition of the corners at the intersections of black and white squares and the recognition of the corners at the intersections of two groups of grid lines. The proposed approach obviously reduces the time cost for camera calibration, speeds up calibration process and is especially adapted for automatic calibration based on multiple images.
Keywords :
calibration; cameras; edge detection; feature extraction; camera calibration; image corner detection; image corner extraction; planar checkerboard pattern image; Artificial intelligence; Automation; Calibration; Costs; Data mining; Electronic mail; Image recognition; Intelligent control; Robot vision systems; Smart cameras; calibration; checkerboard; corner; recognition;
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
DOI :
10.1109/WCICA.2008.4593961