Corner detection and sorting method based on improved Harris algorithm in camera calibration

Ying Xiao; Yonghong Wang; Xizuo Dan; Anqi Huang; Yue Hu; Lianxiang Yang

doi:10.1117/12.2245973

24 November 2016 Corner detection and sorting method based on improved Harris algorithm in camera calibration

Ying Xiao, Yonghong Wang, Xizuo Dan, Anqi Huang, Yue Hu, Lianxiang Yang

Proceedings Volume 10023, Optical Metrology and Inspection for Industrial Applications IV; 100231O (2016) https://doi.org/10.1117/12.2245973
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

Abstract

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.

Citation Download Citation

Ying Xiao, Yonghong Wang, Xizuo Dan, Anqi Huang, Yue Hu, and 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); https://doi.org/10.1117/12.2245973

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