[1] [1] LIAO H C, WU H J. Automatic camera calibration and rectification methods [J]. Measurement and Control, 2010, 43(8): 251-254.

[6] [6] GUAN J Z, DEBOEVERIE F, SLEMBROUCK M, et al. Extrinsic calibration of camera networks using a sphere [J]. Sensors, 2015, 15(8): 18985-19005.

[8] [8] ABDEL-AZIZ Y I, KARARA H M, HAUCK M. Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry [J]. Photogrammetric Engineering & Remote Sensing, 2015, 81(2): 103-107.

[9] [9] BROWND C. Close-range camera calibration [J]. Photogramm. Eng., 1971, 37(8): 855-866.

[10] [10] BROWN D C. Decentering distortion of lenses [J]. Photogram. Eng., 1966, 32(3): 444-462.

[11] [11] WONG K W. Mathematical formulation and digital analysis in close-range photogrammetry [J]. Photogrammetric Engineering and Remote Sensing, 1975, 44(11): 1355-1373.

[12] [12] WU F C, HU Z Y, ZHU H J. Camera calibration with moving one-dimensional objects [J]. Pattern Recognition, 2005, 38(5): 755-765.

[13] [13] HEIKKILA J. Geometric camera calibration using circular control points [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(10): 1066-1077.

[14] [14] ZHANG Z Y. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334.

[15] [15] ZHANG Z Y. Camera calibration with one-dimensional objects [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(7): 892-899.

[16] [16] JIN J, LI X F. Efficient camera self-calibration method based on the absolute dual quadric [J]. Journal of the Optical Society of America A, 2013, 30(3): 287-292.

[20] [20] TSAI R Y. An efficient and accurate camera calibration technique for 3D machine vision [C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Miami Beach: IEEE, 1986: 364-374.

[21] [21] TSAI R Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses [J]. IEEE Journal on Robotics and Automation, 1987, 3(4): 323-344.

[22] [22] DAUCHER N, DHOME M, LAPREST J T. Camera calibration from spheres images [C]//3rd European Conference on Computer Vision. Stockholm: Springer, 1994: 447-454.

[23] [23] TERAMOTO H, XU G. Camera calibration by a single image of balls: From conics to the absolute conic [C]//Proceedings of the 5th Asian Conference on Computer Vision. Melbourne, 2002: 499-506.

[24] [24] YING X H, HU Z Y. Catadioptric camera calibration using geometric invariants [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(10): 1260-1271.

[26] [26] YING X H, ZHA H B. Geometric interpretations of the relation between the image of the absolute conic and sphere images [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(12): 2031-2036.

[27] [27] ZHANG H, WONG K Y K, ZHANG G Q. Camera calibration from images of spheres [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(3): 499-502.

[28] [28] WONG K Y K, ZHANG G Q, CHEN Z H. A stratified approach for camera calibration using spheres [J]. IEEE Transactions on Image Processing, 2011, 20(2): 305-316.

[29] [29] SU P C, SHEN J, XU W X, et al. A fast and robust extrinsic calibration for RGB-D camera networks [J]. Sensors, 2018, 18(1): 235.

[30] [30] CHIODINI S, PERTILE M, GIUBILATO R, et al. Experimental evaluation of a camera rig extrinsic calibration method based on retro-reflective markers detection [J]. Measurement, 2019, 140: 47-55.

[31] [31] HEALEY G E, KONDEPUDY R. Radiometric CCD camera calibration and noise estimation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994, 16(3): 267-276.

[33] [33] STURM P F, MAYBANK S J. On plane-based camera calibration: a general algorithm, singularities, applications [C]//1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149). Fort Collins: IEEE, 1999: 432-437.

[37] [37] HUANG L, DA F P, GAI S Y. Research on multi-camera calibration and point cloud correction method based on three-dimensional calibration object [J]. Optics and Lasers in Engineering, 2019, 115: 32-41.

[38] [38] SVOBODA T, MARTINEC D, PAJDLA T. A convenient multicamera self-calibration for virtual environments [J]. Presence: Teleoperators and Virtual Environments, 2005, 14(4): 407-422.

[40] [40] SHEN E, CARR G P K, THOMAS P, et al. Non-planar target for multi-camera network calibration [C]//SENSORS, 2009 IEEE. Christchurch: IEEE, 2009: 1410-1414.

[41] [41] MARTINS H A, BIRK J R, KELLEY R B. Camera models based on data from two calibration planes [J]. Computer Graphics and Image Processing, 1981, 17(2): 173-180.

[42] [42] HORAUD R, MOHR R, LORECKI B. On single-scanline camera calibration [J]. IEEE Transactions on Robotics and Automation, 1993, 9(1): 71-75.

[43] [43] ZHUANG H Q, HORAUD R. A note on “on single-scanline camera calibration” [and reply] [J]. IEEE Transactions on Robotics and Automation, 1995, 11(3): 470-471.

[44] [44] TRUCCO E, VERRI A. Introductory Techniques for 3-D Computer Vision [M]. Upper Saddle River: Prentice Hall, 1998: 176-198.

[45] [45] MEI C, RIVES P. Single view point omnidirectional camera calibration from planar grids [C]//Proceedings 2007 IEEE International Conference on Robotics and Automation. Rome: IEEE, 2007: 3945-3950.

[46] [46] ZHANG Z Y. Flexible camera calibration by viewing a plane from unknown orientations [C]//Proceedings of the Seventh IEEE International Conference on Computer Vision. Kerkyra: IEEE, 1999: 666-673.

[47] [47] SCARAMUZZA D, MARTINELLI A, SIEGWART R. A flexible technique for accurate omnidirectional camera calibration and structure from motion [C]//Fourth IEEE International Conference on Computer Vision Systems (ICVS'06). New York: IEEE, 2006: 45.

[48] [48] DRARéNI J, ROY S, STURM P. Plane-based calibration for linear cameras [J]. International Journal of Computer Vision, 2011, 91(2): 146-156.

[51] [51] HE H, LI H Y, HUANG Y B, et al. A novel efficient camera calibration approach based on K-SVD sparse dictionary learning [J]. Measurement, 2020, 159: 107798.

[52] [52] SELS S, RIBBENS B, VANLANDUIT S, et al. Camera calibration using gray code [J]. Sensors, 2019, 19(2): 246.

[53] [53] HEIKKILA J, SILVN O. A four-step camera calibration procedure with implicit image correction [C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Juan: IEEE, 1997: 1106-1112.

[54] [54] MATEOS G G. A camera calibration technique using targets of circular features [C]//5th Ibero-America Symposium on Pattern Recognition (SIARP). Lisbon, 2000.

[55] [55] KANG D J, LEE W H. Automatic circle pattern extraction and camera calibration using fast adaptive binarization and plane homography [J]. International Journal of Precision Engineering and Manufacturing, 2010, 11(1): 13-21.

[57] [57] WANG X C, ZHAO Y, YANG F L. Camera calibration method based on Pascal’s theorem [J]. International Journal of Advanced Robotic Systems, 2019, 16(3).

[60] [60] ZHU Q D, XU C Y, CAI C T. Calibration method for misaligned catadioptric camera based on planar conic [C]//Proceedings of SPIE Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing. Wuhan: SPIE, 2013: 87830H.

[62] [62] MENG X Q, HU Z Y. A new easy camera calibration technique based on circular points [J]. Pattern Recognition, 2003, 36(5): 1155-1164.

[63] [63] XU C, YUE Z, FU S N. Linear determination of a cameras intrinsic parameters using two intersecting circles [J]. International Journal of Advanced Robotic Systems, 2014, 11(3): 38.

[64] [64] CHEN B, PAN B. Camera calibration using synthetic random speckle pattern and digital image correlation [J]. Optics and Lasers in Engineering, 2020, 126: 105919.

[65] [65] HE X J, ZHANG H F, HUR N, et al. Complete camera calibration using line-shape objects [C]//TENCON 2006-2006 IEEE Region 10 Conference. Hong Kong, China: IEEE, 2006: 1-4.

[66] [66] DE FRANＣA J A, STEMMER M R, DE MFRANCA M B, et al. Revisiting Zhangs 1D calibration algorithm [J]. Pattern Recognition, 2010, 43(3): 1180-1187.

[67] [67] SHI K F, DONG Q L, WU F C. Weighted similarity-invariant linear algorithm for camera calibration with rotating 1-D objects [J]. IEEE Transactions on Image Processing, 2012, 21(8): 3806-3812.

[69] [69] WANG L, DUAN F Q, LU K. An adaptively weighted algorithm for camera calibration with 1D objects [J]. Neurocomputing, 2015, 149: 1552-1559.

[70] [70] WANG L, WANG W W, SHEN C, et al. A convex relaxation optimization algorithm for multi-camera calibration with 1D objects [J]. Neurocomputing, 2016, 215: 82-89.

[71] [71] HAMMARSTEDT P, STURM P, HEYDEN A. Degenerate cases and closed-form solutions for camera calibration with one-dimensional objects [C]//Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1. Beijing: IEEE, 2005: 317-324.

[72] [72] ZHAO Z J, LIU Y C. Practical multi-camera calibration algorithm with 1D objects for virtual environments [C]//2008 IEEE International Conference on Multimedia and Expo. Hannover: IEEE, 2008: 1197-1200.

[73] [73] MA W J, LIU Y C. Camera calibration with 1D rotating objects [J]. Journal of Shanghai Jiaotong University (Science), 2009, 14(5): 518-525.

[75] [75] LV Y W, LIU W, XU X P. Methods based on 1D homography for camera calibration with 1D objects [J]. Applied Optics, 2018, 57(9): 2155-2164.

[76] [76] QI F, LI Q H, LUO Y P, et al. Camera calibration with one-dimensional objects moving under gravity [J]. Pattern Recognition, 2007, 40(1): 343-345.

[77] [77] QI F, LI Q H, LUO Y P, et al. Constraints on general motions for camera calibration with one-dimensional objects [J]. Pattern Recognition, 2007, 40(6): 1785-1792.

[81] [81] DE FRANA J A, STEMMER M R, DE M FRANA M B, et al. A new robust algorithmic for multi-camera calibration with a 1D object under general motions without prior knowledge of any camera intrinsic parameter [J]. Pattern Recognition, 2012, 45(10): 3636-3647.

[84] [84] MIYAGAWA I, ARAI H, KOIKE H. Simple camera calibration from a single image using five points on two orthogonal 1-D objects [J]. IEEE Transactions on Image Processing, 2010, 19(6): 1528-1538.

[87] [87] HARTLEY R I. Estimation of relative camera positions for uncalibrated cameras [C]//Proceeding of the 2nd European Conference on Computer Vision. Santa: Springer, 1992: 579-587.

[88] [88] FAUGERAS O D, LUONG Q T, MAYBANK S J. Camera self-calibration: theory and experiments [C]//Proceeding of the 2nd European Conference on Computer Vision. Santa: Springer, 1992: 321-334.

[89] [89] MAYBANK S J, FAUGERAS O D. A theory of self-calibration of a moving camera [J]. International Journal of Computer Vision, 1992, 8(2): 123-151.

[90] [90] ZELLER C, FAUGERAS O. Camera self-calibration from video sequences: the Kruppa equations revisited [R]. Sophia Antipolis: INRIA, 1996.

[91] [91] LUONG Q T, FAUGERAS O D. Self-calibration of a moving camera from point correspondences and fundamental matrices [J]. International Journal of Computer Vision, 1997, 22(3): 261-289.

[92] [92] DE MA S. A self-calibration technique for active vision systems [J]. IEEE Transactions on Robotics and Automation, 1996, 12(1): 114-120.

[94] [94] DE AGAPITO L, HAYMAN E, REID I. Self-calibration of a rotating camera with varying intrinsic parameters [C]//Proceedings of the British Machine Vision Conference. Southampton: BMVC Press, 1998: 1-10.

[95] [95] HARTLEY R I, HAYMAN E, DE AGAPITO L, et al. Camera calibration and the search for infinity [C]//Proceedings of the Seventh IEEE International Conference on Computer Vision. Kerkyra: IEEE, 1999: 510-517.

[96] [96] FAUGERAS O, QUAN L, STURM P. Self-calibration of a 1D projective camera and its application to the self-calibration of a 2D projective camera [C]//Proceeding of the 5th European Conference on Computer Vision. Freiburg: Springer, 1998: 36-52.

[97] [97] HARTLEY R I. Self-calibration of stationary cameras [J]. International Journal of Computer Vision, 1997, 22(1): 5-23.

[98] [98] LI Y, HUNG Y S, LEE S. A stratified self-calibration method for circular motion in spite of varying intrinsic parameters [J]. Image and Vision Computing, 2008, 26(6): 731-739.

[99] [99] ELAMSY T, HABED A, BOUFAMA B. Self-calibration of stationary non-rotating zooming cameras [J]. Image and Vision Computing, 2014, 32(3): 212-226.

[100] [100] CIPOLLA R, DRUMMOND T W, ROBERTSON D P. Camera calibration from vanishing points in image of architectural scenes [C]//The 10th British Machine Vision Conference (BMVC99). Nottingham: BMVC, 1999: 382-391.

[102] [102] ZHAO Y, LEI J C. A camera self-calibration method based on plane lattice and orthogonality [J]. Telkomnika, 2013, 11(4): 767-774.

[104] [104] POLLEFEYS M, KOCH R, VAN GOOL L. Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters [J]. International Journal of Computer Vision, 1999, 32(1): 7-25.

[105] [105] KANG S B. Catadioptric self-calibration [C]//Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662). Hilton Head: IEEE, 2000: 201-207.

[106] [106] HEYDEN A, ASTROM K. Euclidean reconstruction from constant intrinsic parameters [C]//Proceedings of 13th International Conference on Pattern Recognition. Vienna: IEEE, 1996: 339-343.

[107] [107] JIN J, LI X F. Efficient camera self-calibration method based on the absolute dual quadric [J]. Journal of the Optical Society of America A, 2013, 30(3): 287-292.