IMPROVING 3D SURFACE MEASUREMENT OF MECHANICAL DETAILS BY STRUCTURED LIGHT USING HIGH DYNAMIC RANGE
108 viewsKeywords:
Structured light; Gray code; Line-shift; 3D Measurement System; HDR.Abstract
The measurement methods using structured light have the advantage of being fast, accurate, and noncontact with the surface of the object. However, these methods have reached its limitation when measuring mechanical details with high surface gloss, due to the unpredictable reflection of incident rays after reaching to object’s surface that, consequently, leads to the simultaneous appearance of several regions with different brightness. To address this problem, we proposed a method of synthesizing extended dynamic range images based on changing the exposure time of the camera and adjusting the illumination of the projector light source so that 3D point coordinates in both bright and dark areas could be obtained through the process. The dual-camera structured light experimental model and the lightcrafter 4500 projector are synchronized through the trigger, using the gray code in combination with the line-shift projection pattern. Experimental results show that the proposed method can precisely reconstruct the 3D surface of mechanical details, while providing higher performance than the state-of-the-art methods.
References
[1]. Jens Gühring, “Dense 3-D surface acquisition by structured light using off-the-shelf components”, Proc. SPIE 4309, Videometrics and Optical Methods for 3D Shape Measurement, 220, 2000
[2]. S. S. Gorthi and P. Rastogi, “Fringe projection techniques: whither we are?” Optics and Lasers in Engineering, vol. 48, no. 2, pp. 133–140, 2010.
[3]. S. Zhang, “Handbook of 3D Machine Vision: Optical Metrology and Imaging”, CRC Press, Boca Raton, Fla, USA, 2013.
[4]. Jason Geng, “Structured-light 3D surface imaging: a tutorial”, Advances in Optics and Photonics, Vol. 3, Issue 2, 128-160, 2011
[5]. Lin, H., Gao, J., Zhang, G., Chen, X., He, Y., Liu, Y. “Review and comparison of high-dynamic range three-dimensional shape measurement techniques,” Journal of Sensors, 2017.
[6]. Hui Lin, Jian Gao, Qing Mei, Yunbo He, Junxiu Liu, and Xingjin Wang, "Adaptive digital fringe projection technique for high dynamic range three-dimensional shape measurement," Opt. Express 24, 7703-7718, 2016
[7]. Lin, Hui, et al. "Three-dimensional shape measurement technique for shiny surfaces by adaptive pixel-wise projection intensity adjustment." Optics and Lasers in Engineering , 206-215, 2017
[8]. S. Feng, Y. Zhang,Q. Chen, C. Zuo, R. Li, and G. Shen, “General solution for high dynamic range three-dimensional shape measurement using the fringe projection technique,” Optics and Lasers in Engineering, vol. 59, pp. 56–71, 2014
[9]. H. Jiang, H. Zhao, and X. Li, “High dynamic range fringe acquisition: a novel 3-D scanning technique for high-reflective surfaces,” Optics and Lasers in Engineering, vol. 50, no. 10, pp.1484–1493, 2012
[10]. S. Zhang and S.-T. Yau, “High dynamic range scanning technique,” Optical Engineering, vol. 48, no. 3, Article ID 033604, 2009
[11]. G.-H. Liu, X.-Y. Liu, and Q.-Y. Feng, “3D shape measurement of objects with high dynamic range of surface reflectivity,” Applied Optics, vol. 50, no. 23, pp. 4557–4565, 2011
[12]. L. Ekstrand and S. Zhang, “Auto exposure for three-dimensional shape measurement using a digital-light-processing projector,” Optical Engineering, vol. 50, pp. 895 – 900, 2011.
[13]. S. K. Nayar, G. Krishnan, M. D. Grossberg, and R. Raskar, “Fast separation of direct and global components of a scene using high frequency illumination”, ACM Trans. on Graphics, 935-944, 2006
[14]. Daniel Moreno, Gabriel Taubin, “Simple, Accurate, and Robust Projector-Camera Calibration”, IEEE Second International Conference on, 464-471, 2012.
