Phase shifting algorithms for fringe projection profilometry: A review

Zuo, Chao; Feng, Shijie; Huang, Lei; Tao, Tianyang; Yin, Wei; Chen, Qian

doi:10.1016/j.optlaseng.2018.04.019

Cited by 780 publications

(210 citation statements)

References 231 publications

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“…Thus, the DIC method is not available. To solve this issue, PMD-based speckle pattern shifting deflectometry based on DIC [28,29] has been applied to flat specular surface shape measurement because of its robustness over noises compared with PMD with sinusoidal fringes and phase shifting algorithms [30]. Precise systematic calibration is still critical for micron-level accurate shape measurement.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Deformation Measurement of Specular Surface with Deflectometry and Speckle Digital Image Correlation

Wang

Cheng

et al. 2020

Sensors

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The deformation measurement of a specular surface is of great importance during the quality inspection and installation of optical elements or wafers, especially those with large apertures. We propose a deflectometry method with speckle digital image correlation (DeSDIC) to realize the dynamic and high-accuracy measurement of the deformation on specular surfaces, with a simple system structure and robustness to noises and environmental vibrations. Random speckle pattern displayed on liquid crystal display is reflected by the original surface under test (SUT), and the distorted pattern is recorded by a camera. This originally distorted pattern is taken as the reference image, and the patterns captured afterwards are digitally correlated with the reference image to calculate the gradient change and deformation of the SUT. The theoretical relationships and an experimental one-step calibration scheme are proposed. Both static and dynamic deformations of a deformable mirror were experimentally measured to demonstrate the feasibility and accuracy of DeSDIC, which is comparable to phase-measuring deflectometry and interferometry.

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Section: Introductionmentioning

confidence: 99%

Dynamic Deformation Measurement of Specular Surface with Deflectometry and Speckle Digital Image Correlation

Wang

Cheng

et al. 2020

Sensors

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“…High accurate and fast 3-D shape reconstruction techniques are increasingly demanded in a variety of fields, such as manufacturing, civil engineering, medical sciences, public security, entertainment, etc [1]. Among those technologies, stereo vision (SV) [2] and fringe projection profilometry (FPP) [3] are two popular non-contact methods, which are extensively researched. A typical FPP system often consists of one projector which projects one or several fringe patterns on a reference plane, and one camera which captures non-distorted and distorted patterns.…”

Section: Introductionmentioning

confidence: 99%

Improve 3D shape reconstruction with dual-camera measurement fusion

Zhu¹,

Guo²,

Xi³

et al. 2019

Optical Metrology and Inspection for Industrial Applications VI

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© 2019 SPIE. In this work, we consider the problem of 3D shape reconstruction with a system with two cameras and one projector, which can be regarded as a composite system with two fringe projection profilometry (FPP) systems and one stereo vision (SV) system. Different from the active SV systems in the literature where FPP is used to assist SV to address the issue of corresponding matching, a new system is proposed in this paper by constructing a fusion cost function with the consideration of both FPP and SV triangulations, so that the measurements of the two cameras can be fused to achieve better measurement performance than that of the active SV and FPP. In addition, a message passing algorithm for 3D shape reconstruction with the system is developed by using the new cost function and exploiting the unknown correlation of object surfaces. Simulation results demonstrate that the proposed system can achieve considerable performance gain.

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“…Fringe pattern profilometry (FPP) has been extensively studied for three-dimensional (3D) shape measurements due to its non-contact feature [1] and high accuracy [2]. This technique has wide applications, such as inspection, monitoring and manufacturing [3].…”

Section: Introductionmentioning

confidence: 99%