Further study of the phase-recovering algorithm for saturated fringe patterns with a larger saturation coefficient in the projection grating phase-shifting profilometry

Hu, Eryi; He, Yuming; Wu, Weiping

doi:10.1016/j.ijleo.2009.01.007

Cited by 27 publications

(13 citation statements)

References 10 publications

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“…The idea of using more phase-shifted fringe patterns has been attempted before. Chen et al [22] and Hu et al [23] proposed to capture more phase-shifted fringe patterns and select at least three unsaturated fringe patterns for phase recovery. The underlying assumption of this method is still that saturated fringe patterns cannot be used for high quality phase recovery, and thus 3D shape measurement.…”

Section: Discussionmentioning

confidence: 99%

High-quality 3D shape measurement using saturated fringe patterns

Chen

Zhang

2016

Optics and Lasers in Engineering

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This paper proposes a method to potentially conquer one of the challenges in the optical metrology community: optically measuring three-dimensional (3D) objects with high surface contrast. We discover that for digitally equally phase-shifted fringe patterns, if the fringe period P is an even number, the N = P/2 × k, (k = 1, 2, 3,. . .) step algorithm can accurately recover phase even if the fringe patterns are saturated; and if P is an odd number, N = P × k step algorithm can also accurately recover phase even if the fringe patterns are saturated. This finding leads to a novel method to optically measure shiny surfaces, where the saturation due to surface shininess could be substantially alleviated. Both simulations and experiments successfully verified the proposed method.

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Section: Discussionmentioning

confidence: 99%

High-quality 3D shape measurement using saturated fringe patterns

Chen

Zhang

2016

Optics and Lasers in Engineering

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“…If the ambient light is strong, the image will partial saturated and error of the calculated phase will occur. A saturation coefficient K is defined to describe the saturation degree of the captured fringe patterns [11][12][13] .…”

Section: Variation Of Ambient Lightmentioning

confidence: 99%

“…Generally speaking, the phase information can be obtained from three unsaturated gray values at the same pixel position. The equation can be expressed as [11][12][13] (12) Proc. of SPIE Vol.…”

Section: Variation Of Ambient and Its Compensationmentioning

confidence: 99%

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Error analysis of a 3D imaging system based on fringe projection technique

Zhang

Dai

2013

SPIE Proceedings

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In the past few years, optical metrology has found numerous applications in scientific and commercial fields owing to its non-contact nature. One of the most popular methods is the measurement of 3D surface based on fringe projection techniques because of the advantages of non-contact operation, full-field and fast acquisition and automatic data processing. In surface profilometry by using digital light processing (DLP) projector, many factors affect the accuracy of 3D measurement. However, there is no research to give the complete error analysis of a 3D imaging system. This paper will analyze some possible error sources of a 3D imaging system, for example, nonlinear response of CCD camera and DLP projector, sampling error of sinusoidal fringe pattern, variation of ambient light and marker extraction during calibration. These error sources are simulated in a software environment to demonstrate their effects on measurement. The possible compensation methods are proposed to give high accurate shape data. Some experiments were conducted to evaluate the effects of these error sources on 3D shape measurement. Experimental results and performance evaluation show that these errors have great effect on measuring 3D shape and it is necessary to compensate for them for accurate measurement.

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“…Although a small camera aperture or exposure time can be used to capture fringe patterns, it simultaneously reduces the intensity modulation at surface regions with low reflectivity, resulting in poor phase accuracy. In order to address this problem, many methods have been proposed, such as using multiple camera viewpoints, 13 changing hardware configuration methods, [16][17][18][19] new phase-measurement algorithms, 20,21 high dynamic range (HDR) techniques, 12,22,23 and methods adjusting the pixel-wise intensity of fringe patterns. 2,3,14,24 Among them, HDR techniques and methods adjusting the pixel-wise intensity of fringe patterns have become the two most important methods.…”

Section: Introductionmentioning

confidence: 99%

Analysis and reduction of phase errors caused by nonuniform surface reflectivity in a phase-shifting measurement system

et al. 2017

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, "Analysis and reduction of phase errors caused by nonuniform surface reflectivity in a phase-shifting measurement system," Opt. Abstract. The measurement accuracy of a phase-shifting measurement system is adversely affected by phase errors. This paper presents a theoretical analysis of phase errors caused by nonuniform surface reflectivity, such as varying reflectivity and a sharp change in reflectivity. Based on the analysis, a method to adaptively adjust the maximum input gray level of each pixel in projected fringe patterns to the local reflectivity was proposed to reduce phase errors. Experimental results for a planar checkerboard show that the measurement error can be reduced by 56.6% by using the proposed method.

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Further study of the phase-recovering algorithm for saturated fringe patterns with a larger saturation coefficient in the projection grating phase-shifting profilometry

Cited by 27 publications

References 10 publications

High-quality 3D shape measurement using saturated fringe patterns

High-quality 3D shape measurement using saturated fringe patterns

Error analysis of a 3D imaging system based on fringe projection technique

Analysis and reduction of phase errors caused by nonuniform surface reflectivity in a phase-shifting measurement system

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