Correction of projector nonlinearity in multi-frequency phase-shifting fringe projection profilometry.

In fringe projection profilometry, the original purpose of projecting multi-frequency fringe patterns is to determine fringe orders automatically, thus unwrapping the measured phase maps. This paper presents that using the same patterns, simultaneously, allows us to correct the effects of projector nonlinearity on the measured results. As is well known, the projector nonlinearity decreases the measurement accuracies by inducing ripple-like artifacts on the measured phase maps; and, theoretical analysis reveals that these artifacts, depending on the number of phase shifts, have multiplied frequencies higher than the fringe frequencies. Based on this fact, we deduce an error function for modeling the phase artifacts and then suggest an algorithm estimating the function coefficients from a couple of phase maps of fringe patterns having different frequencies. As a result, subtracting out the estimated phase errors yields the accurate phase maps with the effects of the projector nonlinearity on them being suppressed significantly. Experiment results demonstrated that this proposed method offers some advantages over others, such as working without a photometric calibration, being applicable when the projector nonlinearity varies over time, and having satisfied efficiency in implementation.

[1]  Dongliang Zheng,et al.  Gamma correction for two step phase shifting fringe projection profilometry , 2013 .

[2]  Yajun Wang,et al.  Some recent advances on superfast 3D shape measurement with digital binary defocusing techniques , 2014 .

[3]  Lei Huang,et al.  Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review , 2016 .

[4]  Dung A. Nguyen,et al.  Recent Advances in 3 D Shape Measurement and Imaging Using Fringe Projection Technique , 2009 .

[5]  Zhan Zhao,et al.  Nonlinearity correction in digital fringe projection profilometry by using histogram matching technique , 2007, SPIE Optical Metrology.

[6]  Xin Wang,et al.  Full-field phase error detection and compensation method for digital phase-shifting fringe projection profilometry , 2015 .

[7]  Hongwei Guo,et al.  Fourier analysis of the sampling characteristics of the phase-shifting algorithm , 2004, SPIE Optics + Photonics.

[8]  Zhongwei Li,et al.  Accurate calibration method for a structured light system , 2008 .

[9]  Zhigang Wang,et al.  A novel three-dimensional shape measurement method based on a look-up table , 2014 .

[10]  Feipeng Da,et al.  A novel fringe adaptation method for digital projector , 2011 .

[11]  Sai Siva Gorthi,et al.  Fringe projection techniques: Whither we are? , 2010 .

[12]  Wei Wang,et al.  Least-squares calibration method for fringe projection profilometry with some practical considerations , 2013 .

[13]  Zhongwei Li,et al.  Complex object 3D measurement based on phase-shifting and a neural network , 2009 .

[14]  Haobo Cheng,et al.  Gamma correction for three-dimensional object measurement by phase measuring profilometry , 2015 .

[15]  Hongwei Guo,et al.  Specular surface measurement by using least squares light tracking technique , 2010 .

[16]  Yingjie Yu,et al.  Least-squares calibration method for fringe projection profilometry , 2005 .

[17]  Song Zhang Recent progresses on real-time 3D shape measurement using digital fringe projection techniques , 2010 .

[18]  Rihong Zhu,et al.  A fast and accurate gamma correction based on Fourier spectrum analysis for digital fringe projection profilometry , 2012 .