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    Journals >Advanced Photonics >Volume 1 >Issue 2 >Page 025001 > Article
    • Advanced Photonics
    • Vol. 1, Issue 2, 025001 (2019)
    Fringe pattern analysis using deep learning | On the Cover
    Shijie Feng1、2、3, Qian Chen1、2、*, Guohua Gu1、2, Tianyang Tao1、2, Liang Zhang1、2、3, Yan Hu1、2、3, Wei Yin1、2、3, and Chao Zuo1、2、3、*
    Author Affiliations
  • 1Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Nanjing, China
  • 2Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing, China
  • 3Nanjing University of Science and Technology, Smart Computational Imaging Laboratory (SCILab), Nanjing, China
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    DOI: 10.1117/1.AP.1.2.025001 Cite this Article Set citation alerts
    Shijie Feng, Qian Chen, Guohua Gu, Tianyang Tao, Liang Zhang, Yan Hu, Wei Yin, Chao Zuo. Fringe pattern analysis using deep learning[J]. Advanced Photonics, 2019, 1(2): 025001 Copy Citation Text show less
    References

    [1] T. Kreis. Handbook of Holographic Interferometry: Optical and Digital Methods(2006).

    [2] P. K. Rastogi. Digital Speckle Pattern Interferometry & Related Techniques(2000).

    [3] S. S. Gorthi, P. Rastogi. Fringe projection techniques: whither we are?. Opt. Lasers Eng., 48, 133-140(2010).

    [4] C. Zuo et al. Phase shifting algorithms for fringe projection profilometry: a review. Opt. Lasers Eng., 109, 23-59(2018).

    [5] X. Su, Q. Zhang. Dynamic 3-D shape measurement method: a review. Opt. Lasers Eng., 48, 191-204(2010).

    [6] Q. Kemao. Two-dimensional windowed Fourier transform for fringe pattern analysis: principles, applications and implementations. Opt. Lasers Eng., 45, 304-317(2007).

    [7] J. Zhong, J. Weng. Spatial carrier-fringe pattern analysis by means of wavelet transform: wavelet transform profilometry. Appl. Opt., 43, 4993-4998(2004).

    [8] L. Huang et al. Comparison of Fourier transform, windowed Fourier transform, and wavelet transform methods for phase extraction from a single fringe pattern in fringe projection profilometry. Opt. Lasers Eng., 48, 141-148(2010).

    [9] Z. Zhang et al. Comparison of Fourier transform, windowed Fourier transform, and wavelet transform methods for phase calculation at discontinuities in fringe projection profilometry. Opt. Lasers Eng., 50, 1152-1160(2012).

    [10] A. Sinha et al. Lensless computational imaging through deep learning. Optica, 4, 1117-1125(2017).

    [11] Y. Rivenson et al. Phase recovery and holographic image reconstruction using deep learning in neural networks. Light: Sci. Appl., 7, 17141(2018).

    [12] C. Zuo et al. Temporal phase unwrapping algorithms for fringe projection profilometry: a comparative review. Opt. Lasers Eng., 85, 84-103(2016).

    [13] C. Zuo et al. High-speed three-dimensional profilometry for multiple objects with complex shapes. Opt. Express, 20, 19493-19510(2012).

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    Shijie Feng, Qian Chen, Guohua Gu, Tianyang Tao, Liang Zhang, Yan Hu, Wei Yin, Chao Zuo. Fringe pattern analysis using deep learning[J]. Advanced Photonics, 2019, 1(2): 025001
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