[1] Lang W, Xue J P, Li C H et al. Splicing of multi-view point clouds based on calibrated parameters of turntable[J]. Chinese Journal of Lasers, 46, 1104003(2019).

[2] Xie Z X, Yu J S, Chi S K et al. Underwater calibration and measurement based on non-parallel stereovision[J]. Acta Optica Sinica, 39, 0912004(2019).

[3] Zhang Q Z, Wang Y. Binocular stereo vision calibration accuracy evaluation using epipolar constraint[J]. Laser & Optoelectronics Progress, 56, 231504(2019).

[4] Zhang Z Y. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330-1334(2000).

[5] Lavest J M, Viala M, Dhome M. Do we really need an accurate calibration pattern to achieve a reliable camera calibration?. [C]∥ECCV '98: Proceedings of the 5th European Conference on Computer Vision, New York: ACM, 158-174(1998).

[7] Harris C, Stephens M. A combined corner and edge detector[C/OL]∥Procedings of the Alvey Vision Conference, [S. l.: s. n.], 147-151(1988).

[8] Smith S M, Brady J M. SUSAN: a new approach to low level image processing[J]. International Journal of Computer Vision, 23, 45-78(1997).

[9] Chen D, Zhang G. A new subpixel detector for X corners in camera calibration targets. [C]∥ WSCG SHORT Papers Proceedings, January 31-February 4, 2005, Plzen, Czech Republic. [S. l.: s. n.](2005).

[10] Hong L, Ji B J, Ling C. A modified algorithm for incomplete corner identification of chess board target[J]. Journal of Computer-Aided Design & Computer Graphics, 28, 1521-1526(2016).

[11] Wang X H, Cheng J Q, Han Y. Adaptive checkerboard corners detection algorithm based on camera calibration[J]. Journal of Computer Applications, 34, 199-202, 231(2014).

[12] Yang X F, Huang Y M, Li Y et al. Sub-pixel corner detection algorithm of chessboard image based on improved SUSAN operator[J]. China Mechanical Engineering, 21, 2541-2545(2010).

[13] Liu J J, Xie C L, Wang J. Sub-pixel corner coordinate positioning method of chessboard image[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 43, 170-172, 177(2015).

[14] Chu J, Guo L, Zhao G H. Chessboard corner detection based on circular template[J]. Optics and Precision Engineering, 21, 189-196(2013).

[15] Tu D W, Zhang Y C. Auto-detection of checkerboard corners based on grey-level difference[J]. Optics and Precision Engineering, 19, 1360-1366(2011).

[16] Li H, Zhang X M, Chen Z. Automatic corner detection of checkerboard based on LSD[J]. Optics and Precision Engineering, 23, 3480-3489(2015).

[17] Wang H T, Hong L, Tan C G[J]. An effective algorithm of the black and white checkerboard corner detection for the camera calibration Bulletin of Surveying and Mapping, 2016, 33-38.

[18] Wu M Y, Ji F, Jiang M. Corner detection method based on rotation invariance[J]. Chinese Journal of Liquid Crystals and Displays, 33, 150-155(2018).

[19] Liu F F, Wu Z G, Ren S Q et al. Improved checkerboard grid corner detection method under complex background[J]. Computer Engineering and Design, 40, 3474-3478(2019).

[20] Wang J J, Fu P L, Gao R X. Machine vision intelligence for product defect inspection based on deep learning and Hough transform[J]. Journal of Manufacturing Systems, 51, 52-60(2019).