Robust dynamic 3-D measurements with motion-compensated phase-shifting profilometry

Feng, Shijie; Zuo, Chao; Tao, Tianyang; Hu, Yan; Zhang, Minliang; Chen, Qian; Gu, Guohua

doi:10.1016/j.optlaseng.2017.12.001

Cited by 159 publications

(33 citation statements)

References 27 publications

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“…The CCD camera is used to take a picture above the reference plane to obtain the surface contour of the object. Information and sync are connected to the side of the PC [33].…”

Section: Measured Part and Experimental Setup For Fringe Projectionmentioning

confidence: 99%

“…The CCD camera is used to take a picture above the reference plane to obtain the surface contour of the object. Information and sync are connected to the side of the PC [33]. In the experiment, to adapt to the shape of the measured object, the projector was placed in the irradiation direction of 30° above the side of the measured object, as shown in Figure 5.…”

Section: Measured Part and Experimental Setup For Fringe Projectionmentioning

confidence: 99%

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Step Surface Profile Measurement Based on Fringe Projection Phase-Shifting Using Selective Sampling

Zhang

Huang

2021

Photonics

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Fringe projection is a non-contact optical method that is widely used in the optical precision measurement of complex stepped surfaces. However, the accuracy of the fringe phase extraction employed has a direct impact on the measurement precision of the surface shape. Where phase-shifting measurement is used, the classical equal step phase extraction algorithm can only be used to measure simple and smooth surfaces, and leads to measurement errors on complex stepped surfaces, which affects the accuracy of the phase extraction. In addition, the iterative process lasts for a long time, resulting in a low efficiency. This paper proposes a step-by-step phase-shifting extraction algorithm based on selective sampling to measure the contour of the stepped surface. Firstly, the fringe pattern is sampled at equal intervals to reduce the iterative calculation time. Finally, the accurate measurement phase is calculated by the alternating iteration method. The phase extraction accuracy and iteration times are compared in experimental measurements between classical iterative algorithms such as four-step phase-shifting algorithms and the variable phase shift phase interpolation algorithm based on selective sampling. It is shown that the variable frequency phase-shifting extraction algorithm based on selective sampling has a shorter operation time, smaller error, and higher accuracy than the traditional iterative algorithm in fringe projection measuring complex stepped surfaces.

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“…The CCD camera is used to take a picture above the reference plane to obtain the surface contour of the object. Information and sync are connected to the side of the PC [33].…”

Section: Measured Part and Experimental Setup For Fringe Projectionmentioning

confidence: 99%

Section: Measured Part and Experimental Setup For Fringe Projectionmentioning

confidence: 99%

Step Surface Profile Measurement Based on Fringe Projection Phase-Shifting Using Selective Sampling

Zhang

Huang

2021

Photonics

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“…PS and temporal phase unwrapping algorithms can achieve high accuracy and robustness in phase calculation. At least three phase-shifting fringe patterns are projected sequentially onto the object surface based on PS algorithm [9][10][11]. The ith fringe pattern can be expressed as…”

Section: A High-precision Phase Calculationmentioning

confidence: 99%

“…The proposed method can significantly reduce the errors caused by the objects movement. Feng et al [7] present a novel motion-compensated phase-shifting profilometry (PSP) to remove the artifacts for dynamic measurements of rigid objects. The phase error of moving objects is analyzed for PSP and compensated using the statistical nature of the fringes.…”

mentioning

confidence: 99%

Three-Dimensional Measurement for Rigid Moving Objects Based on Multi-Fringe Projection

et al. 2020

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Multi-fringe projection profilometry, such as the widely used phase-shifting and temporal phase unwrapping algorithms, can achieve high accuracy and robustness in three-dimensional shape reconstruction of static objects. However, the motion of the objects will introduce errors. This paper proposes a new method to reconstruct 3D shape of rigid moving objects on an automated transmission line. First, a new pixel matching method for projected and captured images is proposed. Then, the pixel deviation caused by the motion of the objects in the three-dimensional direction is pre-detected, and the new projection fringes are obtained according to the above pixel matching. Third, the new projection fringes are binarized and the projector is defocused to realize high-speed projection. At last, the captured fringes are offset to reconstruct 3D shape. Experimental results show that the proposed method is effective in 3D shape reconstruction of rigid moving objects.

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“…In addition, Lu et al suggested refining the unknown phase shifts using the least-squares method with constraints of the background intensity and the modulation amplitude [13]. Feng et al divided motion errors into three categories: motion ripples, motion-induced phase unwrapping errors, and motion outliers [14]. Different methods were applied in the three situations.…”

Section: Introductionmentioning

confidence: 99%

Vibration Detection and Motion Compensation for Multi-Frequency Phase-Shifting-Based 3D Sensors

Han

Zhong

et al. 2019

Sensors

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Phase-shifting profilometry, especially employing the multi-frequency phase-shifting method, is increasingly used for in situ 3D metrology and for the inspection of industrial parts. However, environmental vibrations cause fatal measurement errors and are inevitable in such applications. To this end, an effective and fast vibration detection and motion compensation method for multi-frequency phase-shifting-based 3D sensors is presented. The proposed method quantitatively indicates the strength of the vibration and compensates for the motion error by revising the wrapped phase without accessing neighboring pixels. Different vibration intensities were simulated using an industrial robot moving to test the feasibility of the method. According to experiments, this method is valid and capable for 3D inspection systems affected by inevitable vibrations.

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Robust dynamic 3-D measurements with motion-compensated phase-shifting profilometry

Cited by 159 publications

References 27 publications

Step Surface Profile Measurement Based on Fringe Projection Phase-Shifting Using Selective Sampling

Step Surface Profile Measurement Based on Fringe Projection Phase-Shifting Using Selective Sampling

Three-Dimensional Measurement for Rigid Moving Objects Based on Multi-Fringe Projection

Vibration Detection and Motion Compensation for Multi-Frequency Phase-Shifting-Based 3D Sensors

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