Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
Research of Linear Camera Calibration Based on Planar Pattern
Authors: Jin Sun, Hongbin Gu
Abstract:
An important step in three-dimensional reconstruction and computer vision is camera calibration, whose objective is to estimate the intrinsic and extrinsic parameters of each camera. In this paper, two linear methods based on the different planes are given. In both methods, the general plane is used to replace the calibration object with very good precision. In the first method, after controlling the camera to undergo five times- translation movements and taking pictures of the orthogonal planes, a set of linear constraints of the camera intrinsic parameters is then derived by means of homography matrix. The second method is to get all camera parameters by taking only one picture of a given radius circle. experiments on simulated data and real images,indicate that our method is reasonable and is a good supplement to camera calibration.Keywords: camera calibration, 3D reconstruction, computervision
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077427
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1829References:
[1] Qiu Mao-Lin, Ma Song-Lin and Li Yi. Overview of camera calibration for computer vision. ACTA AUTOMATICA SINICA. Vol. 23, No.1, 2000: 43-55
[2] Ma Song de and Zhang Zheng you. Computer vision- calculation theory and algorithm. Science Press. 1998
[3] Maybank S J, Faugeras O D.A theory of self-calibration of a moving camera. International Journal of Computer Vision,1992,8(2):123~151
[4] Xu G, Noriko Sugimoto. Algebraic derivation of the Kruppa equaltions and a new algorithm for self-calibration of cameras. Journal of Optical Society of America, 1999, 16(10): 2419~2424
[5] Fsugeras O D, Toscani G. The calibration problem for stereo. In: proc IEEE Conference on Computer Vision and Pattern Recognition.1986. 15-20
[6] A Versatile Camera Calibration Technique for 3D Machine Vision", R. Y. Tsai, IEEE J. Robotics & Automation, 1987. No. 4.323-344
[7] Wong K W. Mathematical foundation and digital analysis in close-range photogrammetry. In: Proc. 13th Congress of the Int. Society for Photogrammetry. 1976,1355-1373
[8] Triggs B. Auto-calibration and the absolute quadric. In: Proceedings of Computer Vision and Pattern Recognition. 1997: 609-614
[9] Hu Zhan-Yi and Wu Fu-Zhao. A review on some active vision based camera calibration techniques. Chinese Journal of Computers. Vol. 15, No. 21 2001: 1150-1156
[10] Hartley R, Zisserman A. Multiple View Geometry in Computer Vision. Cambridge, UK: Cambridge University Press, 2000
[11] Wu Fu-Zhao and Hu Zhan-Yi. View and multi-plane constraints on homographies. ACTA AUTOMATICA SINICA Vol. 28, No. 5 690-699
[12] Jun-Sik Kim, In-So Kweon. A new calibration method for robotic application. In: Proceedings of International Conference on Intelligent Robotic and Systems. 2001