Shape reconstruction of large optical surface with high-order terms in fringe reflection technique

Xiaoli JING, Haobo CHENG, Yongfu WEN

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PDF(6823 KB)
Front. Optoelectron. ›› 2019, Vol. 12 ›› Issue (2) : 180-189. DOI: 10.1007/s12200-018-0818-9
RESEARCH ARTICLE
RESEARCH ARTICLE

Shape reconstruction of large optical surface with high-order terms in fringe reflection technique

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Abstract

A fast and effective shape reconstruction method of large aspheric specular surfaces with high order terms is proposed in fringe reflection technique, which combines modal estimation with high-order finite-difference algorithm. The iterative equation with high-order truncation errors is derived for calculating the specular surface with large aperture based on high-order finite-difference algorithm. To achieve the wavefront estimation and improve convergence speed, the numerical orthogonal transformation method based on Zernike polynomials is implemented to obtain the initial iteration value. The reconstruction results of simulated surface identified the advantages of the proposed method. Furthermore, a freeform in illuminating system has been used to demonstrate the validity of the improved method in practical measurement. The results show that the proposed method has the advantages of making the reconstruction of different shape apertures accurate and rapid. In general, this method performs well in measuring large complex objects with high frequency information in practical measurement.

Keywords

shape reconstruction / fringe reflection technique / Zernike orthogonal transformation / finite difference / measurement

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Xiaoli JING, Haobo CHENG, Yongfu WEN. Shape reconstruction of large optical surface with high-order terms in fringe reflection technique. Front. Optoelectron., 2019, 12(2): 180‒189 https://doi.org/10.1007/s12200-018-0818-9

References

[1]
Xiao Y L, Su X, Chen W. Flexible geometrical calibration for fringe-reflection 3D measurement. Optics Letters, 2012, 37(4): 620–622
CrossRef Pubmed Google scholar
[2]
Zhou T, Chen K, Wei H, Li Y. Improved method for rapid shape recovery of large specular surfaces based on phase measuring deflectometry. Applied Optics, 2016, 55(10): 2760–2770
CrossRef Pubmed Google scholar
[3]
Huang L, Idir M, Zuo C, Kaznatcheev K, Zhou L, Asundi A. Comparison of two-dimensional integration methods for shape reconstruction from gradient data. Optics and Lasers in Engineering, 2015, 64: 1–11
CrossRef Google scholar
[4]
Hudgin R H. Wave-front reconstruction for compensated imaging. Journal of the Optical Society of America, 1977, 67(3): 375–378
CrossRef Google scholar
[5]
Fried D L. Least-square fitting a wave-front distortion estimate to an array of phase-difference measurements. Journal of the Optical Society of America, 1977, 67(3): 370–375
CrossRef Google scholar
[6]
Southwell W H. Wave-front estimation from wave-front slope measurements. Journal of the Optical Society of America, 1980, 70(8): 998–1006
CrossRef Google scholar
[7]
Huang L, Asundi A. Improvement of least-squares integration method with iterative compensations in fringe reflectometry. Applied Optics, 2012, 51(31): 7459–7465
CrossRef Pubmed Google scholar
[8]
Li G, Li Y, Liu K, Ma X, Wang H. Improving wavefront reconstruction accuracy by using integration equations with higher-order truncation errors in the Southwell geometry. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 2013, 30(7): 1448–1459
CrossRef Pubmed Google scholar
[9]
Campos J, Yaroslavsky L P, Moreno A, Yzuel M J. Integration in the Fourier domain for restoration of a function from its slope: comparison of four methods. Optics Letters, 2002, 27(22): 1986–1988
CrossRef Pubmed Google scholar
[10]
Bahk S W. Highly accurate wavefront reconstruction algorithms over broad spatial-frequency bandwidth. Optics Express, 2011, 19(20): 18997–19014
CrossRef Pubmed Google scholar
[11]
Matías Di Martino J, Flores J L, Pfeiffer F, Scherer K, Ayubi G A, Ferrari J A. Phase retrieval from one partial derivative. Optics Letters, 2013, 38(22): 4813–4816
CrossRef Pubmed Google scholar
[12]
Ettl S, Kaminski J, Knauer M C, Häusler G. Shape reconstruction from gradient data. Applied Optics, 2008, 47(12): 2091–2097
CrossRef Pubmed Google scholar
[13]
Bon P, Monneret S, Wattellier B. Noniterative boundary-artifact-free wavefront reconstruction from its derivatives. Applied Optics, 2012, 51(23): 5698–5704
CrossRef Pubmed Google scholar
[14]
Zhang H, Han S, Liu S, Li S, Ji L, Zhang X. 3D shape reconstruction of large specular surface. Applied Optics, 2012, 51(31): 7616–7625
CrossRef Pubmed Google scholar
[15]
Jing X, Cheng H, Wen Y. Path integration guided with a quality map for shape reconstruction in the fringe reflection technique. Measurement Science & Technology, 2018, 29(4): 045011
CrossRef Google scholar
[16]
Ye J, Wang W, Gao Z, Liu Z, Wang S, Benítez P, Miñano J C, Yuan Q. Modal wavefront estimation from its slopes by numerical orthogonal transformation method over general shaped aperture. Optics Express, 2015, 23(20): 26208–26220
CrossRef Pubmed Google scholar

Acknowledgements

The project was supported by Science & Technology Innovation Foundation of Shenzhen (Nos. JCYJ20170817114951575, KQJSCX20160217143907).

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2018 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
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