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http://dx.doi.org/10.6109/jkiice.2013.17.11.2645

Design and Implementation of Automatic Detection Method of Corners of Grid Pattern from Distortion Corrected Image  

Cheon, Sweung-Hwan (Department of Computer Science, Dong-Eui University)
Jang, Jong-Wook (Department of Computer Engineering, Dong-Eui University)
Jang, Si-Woong (Department of Computer Science, Dong-Eui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.11, 2013 , pp. 2645-2652 More about this Journal
Abstract
For a variety of vision systems such as car omni-directional surveillance systems and robot vision systems, many cameras have been equipped and used. In order to detect corners of grid pattern in AVM(Around View Monitoring) systems, after the non-linear radial distortion image obtained from wide-angle camera is corrected, corners of grids of the distortion corrected image must be detected. Though there are transformations such as Sub-Pixel and Hough transformation as corner detection methods for AVM systems, it is difficult to achieve automatic detection by Sub-Pixel and accuracy by Hough transformation. Therefore, we showed that the automatic detection proposed in this paper, which detects corners accurately from the distortion corrected image could be applied for AVM systems, by designing and implementing it, and evaluating its performance.
Keywords
Distortion Corected Image; AVM System; Corner Detection;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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