期刊
IET IMAGE PROCESSING
卷 10, 期 1, 页码 16-23出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-ipr.2015.0126
关键词
cameras; calibration; edge detection; statistical analysis; automatic chessboard corner detection method; chessboard pattern-based camera calibration technique; Hessian corner detector; fake corner elimination; sub-pixel location; statistical approach; computational efficiency
类别
资金
- National Natural Science Foundation of China [61472393]
- National Science and Technology Projects [2012GB102007]
Chessboard corner detection is a necessary procedure of the popular chessboard pattern-based camera calibration technique, in which the inner corners on a two-dimensional chessboard are employed as calibration markers. In this study, an automatic chessboard corner detection algorithm is presented for camera calibration. In authors' method, an initial corner set is first obtained with an improved Hessian corner detector. Then, a novel strategy that utilises both intensity and geometry characteristics of the chessboard pattern is presented to eliminate fake corners from the initial corner set. After that, a simple yet effective approach is adopted to sort the detected corners into a meaningful order. Finally, the sub-pixel location of each corner is calculated. The proposed algorithm only requires a user input of the chessboard size, while all the other parameters can be adaptively calculated with a statistical approach. The experimental results demonstrate that the proposed method has advantages over the popular OpenCV chessboard corner detection method in terms of detection accuracy and computational efficiency. Furthermore, the effectiveness of the proposed method used for camera calibration is also verified in authors' experiments.
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