Abstract
The fringe projection profilometry (FPP) is one of the most widely used techniques for three-dimensional (3D) imaging and 3D shape measurements. In this paper, a FPP-based compact, portable, easy-to-implement yet robust 3D imaging and shape measurement system is explored and established. The system utilizes a series of advanced electronic devices, such as a single board computer, a credit-card sized projector, and a USB camera. It employs a number of novel techniques including ultrafast phase unwrapping with multi-frequency fringes, effective gamma correction of digital projection, arbitrary setup of system components, automatic system calibration with a least-squares inverse approach, and multi-thread parallel processing for 3D shape acquisition, reconstruction and display. The system not only provides full-field 3D information with high accuracy and fast speed, but also possesses remarkable features including but not limited to high compactness, easy implementation, and superior capability of dealing with multiple objects with complex shapes in a wide measurement range.
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References
F. Chen, G. Brown, and M. Song, “Overview of 3-D shape measurement using optical methods,” Optical Engineering, 39, 10–22 (2000).
W. Schreiber and G. Notni, “Theory and arrangements of self-calibrating whole-body 3-D measurement systems using fringe projection technique,” Optical Engineering, 39, 159–169 (2000).
L. Salas, E. Luna, J. Salinas, V. Garcia, and M. Servin, “Profilometry by fringe projection,” Optical Engineering, 42, 3307–3314 (2003).
Q. Hu, P. Huang, Q. Fu, and F. Chiang, “Calibration of a three-dimensional shape measurement system,” Optical Engineering, 42, 487–493 (2003).
R. Legarda-Sáenz, T. Bothe, and W. Juptner, “Accurate procedure for the calibration of a structured light system,” Optical Engineering, 43, 464–471 (2004). 390
C. Tay, C. Quan, T. Wu, and Y. Huang, “Integrated method for 3-D rigid-body displacement measurement using fringe projection,” Optical Engineering, 43, 1152–1159 (2004).
T. Peng, S. Gupta, and K. Lau, “Algorithms for constructing 3-D point clouds using multiple digital fringe patterns,” Computer-Aided Design and Applications, 2, 737-746 (2005).
J. Pan, P. Huang, and F. Chiang, “Color-coded binary fringe projection technique for 3-D shape measurement,” Optical Engineering, 44, 023606, (2005).
H. Guo, H. He, Y. Yu, and M. Chen, “Least-squares calibration method for fringe projection profilometry,” Optical Enging, 44, 033603, (2005).
S. Zhang, X. Li, and S. Yau, “Multilevel quality-guided phase unwrapping algorithm for real-time threedimensional shape reconstruction,” Applied Optics, 46, 50–57 (2007).
S. Zhang and S. Yau, “Generic nonsinusoidal phase error correction for three-dimensional shape measurement using a digital video projector,” Applied Optics, 46, 36–43 (2007).
H. Guo, H. He, and M. Chen, “Gamma correction for digital fringe projection profilometry,” Applied Optics, 43, 2906-2914 (2004).
Z. Li, Y. Shi, C. Wang, and Y. Wang, “Accurate calibration method for a structured light system,” Optical Engineering, 47, 053604 (2008).
R. Tsai, “A versatile camera calibration technique for high accuracy 3D machine vision metrology using off-theshelf TV cameras and lenses,” IEEE J. Robotics and Automation, 3, 323–344 (1987).
Z. Zhang, “A flexible new technique for camera calibration,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330–1334 (2000).
L. Chen and C. Quan, “Fringe projection profilometry with nonparallel illumination: a least-squares approach,” Optics Letters, 30, 2101–2103 (2005).
L. Chen and C. Quan, “Reply to comment on "fringe projection profilometry with nonparallel illumination: a least-squares approach",” Optics Letters, 31, 1974–1975 (2006).
Z. Wang and H. Bi, “Comments on fringe projection profilometry with nonparallel illumination: a least-squares approach,” Optics Letters, 31, 1972–1973 (2006).
Z. Wang and H. Bi, “Practical fringe projection profilometry with a LCD projector,” Proceedings of Photomechanics 06: International Conference on Full-field Measurement Techniques and Their Applications in Experimental Solid Mechanics, 2006.
Z. Wang, H. Du, and H. Bi, “Out-of-plane shape determination in fringe projection profilometry,” Optics Express, 14, 12122–12133 (2006).
H. Guo, M. Chen, and P. Zhang, “Least-squares fitting of carrier phase distribution by using a rational function in fringe projection profilometry,” Optics Letters, 31, 3588-3590 (2006).
H. Du and Z. Wang, “Three-dimensional shape measurement with arbitrarily arranged fringe projection profilometry system,” Optics Letters, 32, 2438-2440 (2007).
C. Coggrave and J. Huntley, “High-speed surface profilometer based on a spatial light modulator and pipeline image processor,” Optical Engineering, 38, 1573–1581 (1999).
L. Kinell, “Spatiotemporal approach for real-time absolute shape measurements by use of projected fringes,” Applied Optics, 43, 3018-3027 (2004).
J. Tian and X. Peng, “Three-dimensional vision from a multisensing mechanism,” Applied Optics, 45, 3003-3008 (2006).
W. Osten, W. Nadeborn, and P. Andra, “General hierarchical approach in absolute phase measurement,” Proc. SPIE, 2860, 2-13 (1996).
W. Nadeborn, P. Andra, and W. Osten, “A robust procedure for absolute phase measurement,” Optics and Lasers in Engineering, 24, 245–260 (1996).
J. Burke, T. Bothe, W. Osten, and C. Hess, “Reverse engineering by fringe projection,” Proc. SPIE, 4778, 312-324 (2002).
Z. Wang and B. Han, “Advanced iterative algorithm for phase extraction of randomly phase-shifted interferograms,” Optics Letters, 29, 1671–1673 (2004).
Z. Wang and B. Han, “Advanced iterative algorithm for randomly phase-shifted interferograms with intra- and inter-frame intensity variations,” Optics and Lasers in Engineering, 45, 274–280 (2007).
Z. Wang, D. Nguyen, J. Barnes, “Recent advances in 3D shape measurement and imaging using fringe projection technique,” Proceedings of the SEM Annual Congress and Exposition on Experimental and Applied Mechanics, Albuquerque, New Mexico, 2009. 391
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Nguyen, D.A., Vo, M., Wang, Z., Hoang, T. (2013). Highly Compact and Robust 3D Imaging and Shape Measurement System. In: Proulx, T. (eds) Application of Imaging Techniques to Mechanics of Materials and Structures, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9796-8_50
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DOI: https://doi.org/10.1007/978-1-4419-9796-8_50
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