Analysis of calibration accuracy of cameras with different target sizes for large field of view

Visual measurement plays an increasingly important role in the field o f aerospace, ship and machinery manufacturing. Camera calibration of large field-of-view is a critical part of visual measurement . For the issue a large scale target is difficult to be produced, and the precision can not to be guaranteed. While a small target has the advantage of produced of high precision, but only local optimal solutions can be obtained . Therefore, studying the most suitable ratio of the target size to the camera field of view to ensure the calibration precision requirement of the wide field-of-view is required. In this paper, the cameras are calibrated by a series of different dimensions of checkerboard calibration target s and round calibration targets, respectively. The ratios of the target size to the camera field-of-view are 9%, 18%, 27%, 36%, 45%, 54%, 63%, 72%, 81% and 90%. The target is placed in different positions in the camera field to obtain the camera parameters of different positions . Then, the distribution curves of the reprojection mean error of the feature points’ restructure in different ratios are analyzed. The experimental data demonstrate that with the ratio of the target size to the camera field-of-view increas ing, the precision of calibration is accordingly improved, and the reprojection mean error changes slightly when the ratio is above 45%.

[1]  孙军华 Sun Junhua,et al.  Camera Calibration Based on Flexible 3D Target , 2009 .

[2]  S DeMa,et al.  A self-calibration technique for active vision systems , 1996 .

[3]  Olivier D. Faugeras,et al.  A theory of self-calibration of a moving camera , 1992, International Journal of Computer Vision.

[4]  Richard I. Hartley,et al.  Self-Calibration of Stationary Cameras , 1997, International Journal of Computer Vision.

[5]  Peng Zhang,et al.  3D reconstruction for sinusoidal motion based on different feature detection algorithms , 2015, Precision Engineering Measurements and Instrumentation.

[6]  R. Y. Tsai,et al.  An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision , 1986, CVPR 1986.

[7]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Sergiu Nedevschi,et al.  Development of an omnidirectional stereo vision system , 2013, 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP).

[9]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..