2018
DOI: 10.1364/oe.26.016277
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Correction of projector nonlinearity in multi-frequency phase-shifting fringe projection profilometry

Abstract: 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… Show more

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Cited by 42 publications
(7 citation statements)
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“…Three-dimensional (3D) measurement has been widely used in the fields of medicine, chemical, engineering, and mechanical design [1][2][3] . Among all 3D measurement methods, fringe projection profilometry (FPP) is one of the high-performance techniques, such as Fourier transform profilometry (FTP) and phase-shifting profilometry (PSP) [4][5][6] .…”
Section: Introductionmentioning
confidence: 99%
“…Three-dimensional (3D) measurement has been widely used in the fields of medicine, chemical, engineering, and mechanical design [1][2][3] . Among all 3D measurement methods, fringe projection profilometry (FPP) is one of the high-performance techniques, such as Fourier transform profilometry (FTP) and phase-shifting profilometry (PSP) [4][5][6] .…”
Section: Introductionmentioning
confidence: 99%
“…For example, Zhang [10] constructed a phase error look-up table by calibrating the corresponding relationship between the fringe phase value and the phase error, and used the look-up table in the measurement process. Xing [11] used the iterative least squares self-correction algorithm to determine the phase error coefficient using the dual-frequency fringe phase. The passive calibration method is sensitive to changes in the system environment, the calibration process is complicated, and the detection speed and accuracy are restricted by the complexity of the calibration algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the algorithm can better suppress interference. However, there are some problems in phase unwrapping of multifrequency heterodyne, such as jumping error [10]. Jiang et al [11] proposed a series of constraints to compensate the phase of multifrequency heterodyne.…”
Section: Introductionmentioning
confidence: 99%