High dynamic range real-time 3D measurement based on Fourier transform profilometry

Liu, Yanzhao; Fu, Yanjun; Zhuan, Yuhao; Zhong, Kangping; Guan, Bingliang

doi:10.1016/j.optlastec.2020.106833

Cited by 39 publications

(8 citation statements)

References 41 publications

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“…phase error is calculated at each distance and listed in table (3). Figure (12) shows phase error of 500 th row of the unwrapped phase map associated with distances. RMS values of phase error equals to 0.0237, 0.0251 and 0.0252 rad at 500, 1000, and 1500 mm.…”

Section: -3 Surface Distance To the Camera And Projectormentioning

confidence: 99%

“…These patterns are deformed due to the object height distribution. Image of the deformed patterns is captured by CCD camera [10,11] then analyzed by one of fringe analysis techniques such as Fourier transform [12] , wavelet transform [13] , and phase shifting technique [14] to obtain phase map, then unwrapped to get continuous phase map. Finally, a calibration step is done to transform from continuous phase map to X, Y, Z coordinates [15,16] .…”

Section: -Introductionmentioning

confidence: 99%

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Effect of System Parameters on Phase Error of Focus-Free Digital Fringe Projection Profilometry System

Ali

Amer

Omaraa

2021

Egyptian Journal of Solids

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Digital Fringe projection profilometry (DFPP) is a noncontact, fast, accurate and flexible technique for 3D measurements. Phase calculation is an important step that affects the accuracy of measurements. in phase calculation, the critical source of error is phase error due to nonlinear gamma effect of the system. This paper introduces an experimental investigation of the nonlinear gamma effect of DFPP system as well as the effect of system parameters, such as fringe intensity, fringe period, surface distance from the camera and projector and finally the ambient illumination, on phase error and consequently system measurements. Fringe patterns are generated using Matlab 2018a and projected by digital laser projector. The deformed patterns are captured using colored CCD camera. Phase shifting technique is used to calculate phase map. The system shows a linear response in the intensity range (50-220) and has small phase error without any compensation for nonlinear gamma effect. The phase error of the system slightly increases with increasing fringe period and the surface distance from the camera and projector, while it is nearly constant with ambient illumination changes from dark to median level and shows a bigger change if the ambient is completely illuminated. In the worst conditions the phase error does not accedes 0.0387 rad without any compensation for nonlinear gamma effect, make the system a useful tool for 3D measurements in different working fields.

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Section: -3 Surface Distance To the Camera And Projectormentioning

confidence: 99%

Section: -Introductionmentioning

confidence: 99%

Effect of System Parameters on Phase Error of Focus-Free Digital Fringe Projection Profilometry System

Ali

Amer

Omaraa

2021

Egyptian Journal of Solids

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“…Finally, the threedimensional (3D) shape of the object is reconstructed through the internal and external parameters of the 3D measurement * Author to whom any correspondence should be addressed. system and the phase information contained in the deformed fringe patterns [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An efficient high dynamic range 3D shape reconstruction method based on double phase-shifting profilometry

Wang,

Yang

2023

Meas. Sci. Technol.

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Phase-shifting profilometry (PSP) is the most widely used wrapped phase extraction method due to the advantages of high accuracy and resolution, robust to noise. However, due to the local specular reflection of the measured surfaces and the limited camera dynamic range, some pixels of the captured fringes become intensity saturated, thus introducing wrapped phase error. In this work, we simulate the Fourier spectrum of the saturated fringe and represent the saturated fringe approximately by a third-order Fourier series. Subsequently, we establish the saturation-induced wrapped phase error model. According to this model, it can be found that for the N-step phase-shifting method, the spatial frequency of the saturation-induced wrapped phase error is N times of that of the ideal wrapped phase. We phase shift the N-step phase-shifting fringe sequence π/N to generate the additional phase-shifting fringe sequence, and thus generate the opposite saturation-induced wrapped phase error. Finally, the saturation-induced wrapped phase error can be greatly reduced by fusing the wrapped phases of the two sets of phase-shifting fringe sequences. Compared with the traditional method and the adaptive projection fringe method, the phase error of the double N-step phase-shifting method is reduced by 69.92% and 65.2%, respectively.

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“…While the existing binocular SSLS that can achieve high-accuracy color 3D reconstruction often requires an additional texture camera to obtain color information, which increases the cost of the sensor. Furthermore, the accuracy of pixel intensity can be compromised due to the color crosstalk under monochromatic illumination, but many sensors ignored this problem [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Surface structured light sensor with simultaneous color mapping

Yuan

Kang

Feng

et al. 2023

Meas. Sci. Technol.

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To obtain geometric information and color texture simultaneously, a surface structured light sensor consisting of a monochrome camera, a color camera, and a projector is proposed. The sensor uses a color camera to acquire surface color information while using it as a geometric measurement unit and matching with the monochrome camera to obtain geometric information. Due to the Bayer array and demosaicing algorithm of the color camera, pixel RGB components are always coupled with interference from other channels. However, existing color de-crosstalk in reconstruction is merely applied to the decoupling of color composite patterns, ignoring the intensity errors present in color fringe patterns under monochrome illumination. In our sensor, de-crosstalk of monochromatic patterns is considered to guarantee the reconstruction accuracy. The high-accuracy measurement of the sensor is validated by reconstructing standard steps, yielding a mean absolute error of 0.008 mm for distance measurements. In addition, the reconstruction experiment of a terracotta warrior verifies that the proposed sensor has potential application in the digital preservation of cultural relics.

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High dynamic range real-time 3D measurement based on Fourier transform profilometry

Cited by 39 publications

References 41 publications

Effect of System Parameters on Phase Error of Focus-Free Digital Fringe Projection Profilometry System

Effect of System Parameters on Phase Error of Focus-Free Digital Fringe Projection Profilometry System

An efficient high dynamic range 3D shape reconstruction method based on double phase-shifting profilometry

Surface structured light sensor with simultaneous color mapping

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