6 March 2015 Detection of sub-pixel chessboard corners based on gray symmetry factor
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Proceedings Volume 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation; 94464S (2015) https://doi.org/10.1117/12.2182370
Event: International Symposium on Precision Engineering Measurement and Instrumentation, 2014, Changsha/Zhangjiajie, China
Abstract
In order to solve the robustness and efficiency problems of chessboard corner detection under on-site condition, a method based on the square-closed loop template and local gray symmetry factor is proposed for detecting sub-pixel chessboard corners with high precision and efficiency. Interest points on edges of original image is detected by square-closed loop template according to the transition times on the template, on this basis, corners are roughly detected by averaging the adjacent coordinates of interest points; gray symmetry factors, calculated in the local neighborhood of roughly detected corners, are used as the weighting factors to precisely detect corners on sub-pixel level. Experimental results indicate that computing speed and positioning accuracy of this method was obviously increased. The corner detection performance could be significantly improved using the proposed method.
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Qiancheng Zhao, Qiancheng Zhao, Zhongzhu Chen, Zhongzhu Chen, Tianlong Yang, Tianlong Yang, Yafeng Zhao, Yafeng Zhao, } "Detection of sub-pixel chessboard corners based on gray symmetry factor", Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94464S (6 March 2015); doi: 10.1117/12.2182370; https://doi.org/10.1117/12.2182370
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