24 November 2016 Corner detection and sorting method based on improved Harris algorithm in camera calibration
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In traditional Harris corner detection algorithm, the appropriate threshold which is used to eliminate false corners is selected manually. In order to detect corners automatically, an improved algorithm which combines Harris and circular boundary theory of corners is proposed in this paper. After detecting accurate corner coordinates by using Harris algorithm and Forstner algorithm, false corners within chessboard pattern of the calibration plate can be eliminated automatically by using circular boundary theory. Moreover, a corner sorting method based on an improved calibration plate is proposed to eliminate false background corners and sort remaining corners in order. Experiment results show that the proposed algorithms can eliminate all false corners and sort remaining corners correctly and automatically.
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Ying Xiao, Ying Xiao, Yonghong Wang, Yonghong Wang, Xizuo Dan, Xizuo Dan, Anqi Huang, Anqi Huang, Yue Hu, Yue Hu, Lianxiang Yang, Lianxiang Yang, } "Corner detection and sorting method based on improved Harris algorithm in camera calibration", Proc. SPIE 10023, Optical Metrology and Inspection for Industrial Applications IV, 100231O (24 November 2016); doi: 10.1117/12.2245973; https://doi.org/10.1117/12.2245973

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