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Sensors 2017, 17(4), 685; doi:10.3390/s17040685

Automatic Camera Calibration Using Active Displays of a Virtual Pattern

College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
National Engineering Laboratory for Robot Visual Perception and Control Technology, Hunan University, Changsha 410082, China
College of Information Engineering, Xiangtan University, Yuhu District, Xiangtan 411105, China
Authors to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 12 January 2017 / Revised: 16 March 2017 / Accepted: 18 March 2017 / Published: 27 March 2017
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [1519 KB, uploaded 28 March 2017]   |  


Camera calibration plays a critical role in 3D computer vision tasks. The most commonly used calibration method utilizes a planar checkerboard and can be done nearly fully automatically. However, it requires the user to move either the camera or the checkerboard during the capture step. This manual operation is time consuming and makes the calibration results unstable. In order to solve the above problems caused by manual operation, this paper presents a full-automatic camera calibration method using a virtual pattern instead of a physical one. The virtual pattern is actively transformed and displayed on a screen so that the control points of the pattern can be uniformly observed in the camera view. The proposed method estimates the camera parameters from point correspondences between 2D image points and the virtual pattern. The camera and the screen are fixed during the whole process; therefore, the proposed method does not require any manual operations. Performance of the proposed method is evaluated through experiments on both synthetic and real data. Experimental results show that the proposed method can achieve stable results and its accuracy is comparable to the standard method by Zhang. View Full-Text
Keywords: camera calibration; 2D pattern; active display; lens distortion; closed-form solution; maximum likelihood estimation camera calibration; 2D pattern; active display; lens distortion; closed-form solution; maximum likelihood estimation

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Tan, L.; Wang, Y.; Yu, H.; Zhu, J. Automatic Camera Calibration Using Active Displays of a Virtual Pattern. Sensors 2017, 17, 685.

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