CLC number: TP391.4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 10
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WU Lu-shen, PENG Qing-jin. Research and development of fringe projection-based methods in 3D shape reconstruction[J]. Journal of Zhejiang University Science A, 2006, 7(6): 1026-1036.
@article{title="Research and development of fringe projection-based methods in 3D shape reconstruction",
author="WU Lu-shen, PENG Qing-jin",
journal="Journal of Zhejiang University Science A",
volume="7",
number="6",
pages="1026-1036",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1026"
}
%0 Journal Article
%T Research and development of fringe projection-based methods in 3D shape reconstruction
%A WU Lu-shen
%A PENG Qing-jin
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 6
%P 1026-1036
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1026
TY - JOUR
T1 - Research and development of fringe projection-based methods in 3D shape reconstruction
A1 - WU Lu-shen
A1 - PENG Qing-jin
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 6
SP - 1026
EP - 1036
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A1026
Abstract: This paper discusses current research and development of fringe projection-based techniques. A system based on Fourier transform profilometry (FTP) is proposed for three-dimensional (3D) shape recovery. The system improves the method of phase unwrapping to gain accurate 3D shapes of objects. The method uses a region-growing algorithm for the path prediction guided by the quality map to increase the recovering accuracy and provides a fast and simple tool for 3D shape recovery. The shape measurement and data recovery are integrated to offer a new method of 3D modelling. Examples are presented to verify the feasibility of the proposed method.
[1] Bae, K.Y., Benhabib, B., 2003. A hybrid scheme incorporating stereo-matching and shape-from-shading for spatial object recognition. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 217(11):1533-1542.
[2] Cusack, R., Huntley, J.M., Goldrein, H.T., 1995. Improved noise-immune phase unwrapping algorithm. Applied Optics, 35(5):781-789.
[3] Dougherty, D.J., Selkow, S.M., 2004. The certification of properties of stable marriage. Information Processing Letters, 92(6):275-277.
[4] Ghiglia, D.C., Mastin, G.A., Romero, L.A., 1987. Cellular-automata method for phase unwrapping. Journal of Optical Society of American, 4(1):267-280.
[5] Gierloff, J.J., 1987. Phase unwrapping by regions. Optical Engineering, 818:2-9.
[6] Goldstein, R.M., Zebker, H.A., Werner, C.L., 1988. Satellite radar interferometry: two-dimensional phase unwrapping. Radio Science, 23(4):713-720.
[7] Huang, M.J., Lai, C., 2002. Phase unwrapping based on a parallel noise-immune algorithm. Optics and Laser Technology, 34(6):457-464.
[8] Itoh, K., 1982. Analysis of the phase unwrapping algorithm. Applied Optics, 21(14):2470-2486.
[9] Judge, T.R., Bryanstoncross, P.J., 1994. A review of phase unwrapping techniques in fringe analysis. Optics and Lasers in Engineering, 21(4):199-239.
[10] Lai, X.M., Li, Z.Q., Huang, T., Zeng, Z.P., 2001. A study of a reverse engineering system based on vision sensor for free-form surfaces. Computers and Industrial Engineering, 40(3):215-227.
[11] Magnus, M.H., Kazuo, I., Shuichi, M., Hiroki, Y., 2004. Randomized approximation of the stable marriage problem. Theoretical Computer Science, 325(3):439-465.
[12] Martins, F.A.R., Garcia-bermejo, J.G., Zalama, E., Peran, J.R., 2003. An optimized strategy for automatic optical scanning of objects in reverse engineering. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 217(8):1167-1171.
[13] Pearson, D., 2005. A polynomial-time algorithm for the change-making problem. Operations Research Letters, 33(3):231-234.
[14] Srinivasan, V., Liu, H.C., Halioua, M., 1995. Automated phase-measuring profilometry: a phase mapping approach. Applied Optics, 24(2):185-187.
[15] Stetson, K.A., Wahid, J., Gauthier, P., 1997. Noise-immune phase unwrapping by use of calculated wrap regions. Applied Optics, 36(20):4830-4838.
[16] Takeda, M., Mutoh, K., 1983. Fourier transform profilometry for the automatic measurement of 3D object shapes. Applied Optics, 22(24):3977-3982.
[17] Takeda, M., Abe, T., 1996. Phase unwrapping by a maximum cross-amplitude spanning tree algorithm: A comparative study. Optical Engineering, 35(8):2345-2351.
[18] Takeda, M., Ina, H., Koboyashi, S., 1982. Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry. Journal of Optical Society of America, 72(1):156-160.
[19] Tang, S., Hung, Y., 1990. Fast profilometer for the automatic measurement of 3-D object shapes. Applied Optics, 29(20):3012-3018.
[20] Wu, P.F., Yu, F.H., 1993. Analysis technique for the measurement of a three-dimensional object shape. Applied Optics, 32(5):737-742.
[21] Xu, J., Wang, Y., 1998. 2D Fourier Transform and Automatic Reference Grating Image Method for Optical Measurement of 3D Surface Shapes. SPIE’s International Symposium on Optical Science, Engineering and Instrumentation. San Diego.
[22] Yamaguchi, L., Ohta, S., Kato, J., 2001. Surface contouring by phase-shifting digital holography. Optics and Lasers in Engineering, 36(5):417-428.
[23] Yan, J., De, S.L., 2003. Reverse Engineering of Sheet Metal Parts Using Machine Vision. Proc. the ASME Design Engineering Technical Conference, p.1085-1095.
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