[1] Zhang S. High-speed 3D shape measurement with structured light methods: a review[J]. Optics and Lasers in Engineering, 106, 119-131(2018).
[4] Rusinkiewicz S, Hall-Holt O, Levoy M. Real-time 3D model acquisition[J]. ACM Transactions on Graphics, 21, 438-446(2002).
[5] Salvi J, Fernandez S, Pribanic T et al. A state of the art in structured light patterns for surface profilometry[J]. Pattern Recognition, 43, 2666-2680(2010).
[6] van der Jeught S, Dirckx J J J. Real-time structured light profilometry: a review[J]. Optics and Lasers in Engineering, 87, 18-31(2016).
[7] Fan Y, Xu X, Wang M. A surface-based spatial registration method based on sense three-dimensional scanner[J]. Journal of Craniofacial Surgery, 28, 157-160(2017).
[8] Luo X B, Zhong Y X, Li R J. Data registration in 3-D scanning systems[J]. Journal of Tsinghua University(Science and Technology), 44, 1104-1106(2004).
[11] Qin X J, Zhao H, Zhang Q F et al. A method of structured light coding and decoding based on the boundary information[J]. Journal of Computer-Aided Design & Computer Graphics, 26, 879-888(2014).
[12] Trobina M. Error model of a coded-light range sensor Zurich: Communication Technology Laboratory,[R]. ETH Zentrum(1995).
[13] Hall-Holt O, Rusinkiewicz S. Stripe boundary codes for real-time structured-light range scanning of moving objects. [C]∥Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, July 7-14, 2001, Vancouver, BC, Canada. New York: IEEE, 359-366(2001).
[15] Shi J L, Sun Z X, Bai S Q. 3D reconstruction framework via combining one 3D scanner and multiple stereo trackers[J]. The Visual Computer, 34, 377-389(2018).
[16] Yu X Y, Dong Q L, Zhang J H et al. A sub-pixel stripe edge detection method based on forward and inverse gray code patterns[J]. Journal of Test and Measurement Technology, 22, 231-235(2008).
[17] Gühring J. Dense 3D surface acquisition by structured light using off-the-shelf components[J]. Proceedings of SPIE, 4309, 220-231(2000).
[18] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration. [C]∥2009 IEEE International Conference on Robotics and Automation, May 12-17, 2009, Kobe, Japan. New York: IEEE, 3212-3217(2009).