An Improved Fast Camera Calibration Method for Mobile Terminals

Fang-li Guan, Ai-jun Xu and Guang-yu Jiang
Volume: 15, No: 5, Page: 1082 ~ 1095, Year: 2019
Keywords: Camera Calibration Technique, Camera Distortion Correction, Close-Range Photogrammetry, Machine Vision, Mobile Terminals, Pinhole Model
Full Text:

Camera calibration is an important part of machine vision and close-range photogrammetry. Since current calibration methods fail to obtain ideal internal and external camera parameters with limited computing resources on mobile terminals efficiently, this paper proposes an improved fast camera calibration method for mobile terminals. Based on traditional camera calibration method, the new method introduces two-order radial distortion and tangential distortion models to establish the camera model with nonlinear distortion items. Meanwhile, the nonlinear least square L-M algorithm is used to optimize parameters iteration, the new method can quickly obtain high-precise internal and external camera parameters. The experimental results show that the new method improves the efficiency and precision of camera calibration. Terminals simulation experiment on PC indicates that the time consuming of parameter iteration reduced from 0.220 seconds to 0.063 seconds (0.234 seconds on mobile terminals) and the average reprojection error reduced from 0.25 pixel to 0.15 pixel. Therefore, the new method is an ideal mobile terminals camera calibration method which can expand the application range of 3D reconstruction and close-range photogrammetry technology on mobile terminals.

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Cite this article
IEEE Style
F. Guan, A. Xu and G. Jiang, "An Improved Fast Camera Calibration Method for Mobile Terminals," Journal of Information Processing Systems, vol. 15, no. 5, pp. 1082~1095, 2019. DOI: 10.3745/JIPS.02.0117.

ACM Style
Fang-li Guan, Ai-jun Xu, and Guang-yu Jiang. 2019. An Improved Fast Camera Calibration Method for Mobile Terminals, Journal of Information Processing Systems, 15, 5, (2019), 1082~1095. DOI: 10.3745/JIPS.02.0117.