Improving the Accuracy of the Calibration Method for Structured Light System
Main Article Content
Abstract
In a structured light system, calibration is an important step for estimating the intrinsic and extrinsic parameters of the camera and projector. System calibration errors directly affect the measurement errors. Therefore, the accurate calibration is the main prerequisite for a successful and accurate surface reconstruction. In this paper, the effect of checker size and checkerboard angle on the accurate calibration for a structured light system is presented. Relations between calibration error and checker size, fitting plane error and checkerboard angle are also studied. The purpose of the research is to achieve high accuracy when calibrating the system, by selecting the optimum checker size and determining the limited checkerboard angle Δβ in the whole volume of measurement 200(H)×250(W)×100(D)mm³
Keywords
Structured light system, 3D Surface Measurement, Calibration
Article Details
References
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[3] J. Villa, M. Araiza, D. Alaniz, R. Ivanov, and M. Ortiz, ‘Transformation of phase to (x,y,z) coordinates for the calibration of a fringe projection profilometer’, Opt. Lasers Eng., vol. 50, no. 2, pp. 256–261, 2012.
[4] Y. Xiao, Y. Cao, and Y. Wu, ‘Improved algorithm for phase-to-height mapping in phase measuring profilometry.’, Appl. Opt., vol. 51, no. 8, pp. 1149–55, 2012.
[5] H. Luo, B. Gao, J. Xu, and K. Chen, ‘An approach for structured light system calibration’, 2013 IEEE Int. Conf. Cyber Technol. Autom. Intell. Syst. IEEE-CYBER 2013, pp. 428–433, 2013.
[6] Z. Li, Y. Shi, C. Wang, and Y. Wang, ‘Accurate calibration method for a structured light system’, Opt. Eng., vol. 47, no. 5, p. 53604, 2008.
[7] P. S. H. Song, Zhang, ‘Novel method for structured light system calibration’, Opt. Eng., vol. 45, no. 8, p. 83601, 2006.
[8] Z. Zhang, ‘A Flexible New Technique for Camera Calibration (Technical Report)’, IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 11, pp. 1330–1334, 2002.
[9] W. F. Lohry, ‘Optimal checkerboard selection for structured light system calibration’, Mechanical Engineering Conf. Presentations, Papers, and Proceedings Mechanical, 2009.
[10] D. Moreno and G. Taubin, ‘Simple , Accurate, and Robust Projector-Camera Calibration’, 3D Imaging, Model. Process. Vis. Transm., vol. IEEE, no. 2012, pp. 464–471.
[11] F. Ke, J. Xie, and Y. Chen, ‘A flexible and high precision calibration method for the structured light vision system’, Optik (Stuttg)., vol. 127, no. 1, pp. 310–314, 2016.
[12] C. Y. Chen and H. J. Chien, ‘An incremental target-adapted strategy for active geometric calibration of projector-camera systems’, Sensors (Switzerland), vol. 13, no. 2, pp. 2664–2681, 2013.
[13] G. Bradski, “The OpenCV Library,” Dr. Dobb’s Journal of Software Tools, 2000.
[14] J. Allison, “Least Squares Data Fitting in MATLAB,”. 2010.