title: Automatic Camera Calibration Using Active Displays of a Virtual Pattern.
abstract: 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.
authors.affiliation: College of Electrical and Information Engineering, Hunan University, Yuelushan 410082, China. leit@hnu.edu.cn.
authors.forename: Lei
authors.initials: L
authors.lastname: Tan
authors.affiliation: College of Electrical and Information Engineering, Hunan University, Yuelushan 410082, China. wangyaonan@hnu.edu.cn.|National Engineering Laboratory for Robot Visual Perception and Control Technology, Hunan University, Yuelushan 410082, China. wangyaonan@hnu.edu.cn.
authors.forename: Yaonan
authors.initials: Y
authors.lastname: Wang
authors.affiliation: National Engineering Laboratory for Robot Visual Perception and Control Technology, Hunan University, Yuelushan 410082, China. yuhongshan@hnu.edu.cn.
authors.forename: Hongshan
authors.initials: H
authors.lastname: Yu
authors.affiliation: College of Information Engineering, Xiangtan University, Yuhu District, Xiangtan 411105, China. jiang126@126.com.
authors.forename: Jiang
authors.initials: J
authors.lastname: Zhu
keywords: 2D pattern; active display; camera calibration; closed-form solution; lens distortion; maximum likelihood estimation