Infrared and Laser Engineering, Volume. 49, Issue 3, 0303009(2020)

Progress in self-correcting methods of projector nonlinearity for fringe projection profilometry

Hongwei Guo and Shuo Xing*
Author Affiliations
  • School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
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    Figures & Tables(11)
    Software-based methods for correcting projector nonlinearities error
    Measurement system of fringe projection
    Effect of projector nonlinearity on the phase measuring results.(a) Simulated phase curve; (b) Simulated phases with a carrier added; (c) Nonlinearity curve of projector; (d) A phase-shifting intensity curve; (e) Measured phases without carrier;(f) Phase errors
    (a) Calculated background intensities (dotted curve) and modulations (solid curve); (b) Normalized intensity curve
    Self-correcting method based on iterative intensity curve fitting. (a) Smoothed phase curve ; (b) Phase difference before and after filtering; (c) Cosine of the smoothed phases; (d) Dependence between the normalized intensities and the cosine of smoothed phases; (e) Polynomial fitting to the clustering points in (d); (f) Corrected phases
    Recognizing and removing the projector nonlinearity from a single phase map. (a) Wrapped smoothed phases; (b) Dependence of phase errors on phases; (c) Iterative fitting result of phase error function; (d) Corrected phases
    Correction of the projector nonlinearity from two-frequency phase maps. (a) Low frequency fringe; (b) Measured low frequency fringe phases; (c) High frequency fringe; (d) Measured high frequency fringe phases; (e) Phase errors in Fig.(b) (dotted) and Fig.(d) (solid); (f) Corrected phases
    (a) A fringe pattern; (b)Unwrapped phase map without carrier
    Depth maps of different correcting methods for projector nonlinearities. (a) Projector nonlinearity not corrected; (b) Photometric calibration;(c) Self-correcting methods based on iterative fitting of intensity curve[41]; (d) Phase error estimation from a single phase map[42]; (e) Self-correcting method based on statistics[45]; (f) Iterative least squares fitting method based on two-frequency phase maps[44]
    Comparison among different compensating methods with the methods in (a)-(f) corresponding to those in Fig. 9(a)-(f)
    • Table 1. Performance comparisons of projector nonlinearity correcting methods

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      Table 1. Performance comparisons of projector nonlinearity correcting methods

      MethodsPrior calibration requiredNumber of the required fringe patternsComputational complexityInsensitivity to time-variance of the projector nonlinearityExpected accuracy
      Calibration-based methods (e.g. LUT and phase-error function) YesSmallLowHighMiddle
      Increasing the number of phase shifts with phase-shifting techniqueNoLargeLowLowHigh
      Iterative least squares fitting to the intensity curve based on single-frequency fringe patterns[41]NoSmallHighLowHigh
      Phase error estimation from a calculated phase map[42]NoSmallMiddleLowHigh
      Phase error estimation from two-frequency phase maps using iterative least squares fitting method[44]NoSmallMiddleLowHigh
      Phase error estimation from two-frequency phase maps using fringe statistics[45]NoSmallLowLowLow
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    Hongwei Guo, Shuo Xing. Progress in self-correcting methods of projector nonlinearity for fringe projection profilometry[J]. Infrared and Laser Engineering, 2020, 49(3): 0303009

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    Paper Information

    Received: Nov. 2, 2019

    Accepted: --

    Published Online: Apr. 22, 2020

    The Author Email: Xing Shuo (xingshuomail@163.com)

    DOI:10.3788/IRLA202049.0303009

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