Generic exponential fringe model for alleviating phase error in phase measuring profilometry

Chen, Chao; Gao, Nan; Wang, Xiangjun; Zhang, Zonghua; Gao, Feng; Jiang, Xiangqian

doi:10.1016/j.optlaseng.2018.06.001

Cited by 41 publications

(5 citation statements)

References 22 publications

(37 reference statements)

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“…Accordingly, the inspection techniques develop in the direction of high precision, high efficiency, and low cost. As an approach to observing the surface topography, structured light projection [1,2] technology has promising applications in many fields, such as industrial processing supervision [3,4], intelligent machine vision [5][6][7][8], and biomedical engineering [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Microscopic fringe projection profilometry systems in Scheimpflug condition and performance comparison

Hu¹,

Zheng²,

Liang³

et al. 2022

Surf. Topogr.: Metrol. Prop.

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The high-frequency fringe images provided by magnifying lenses with low distortion render the microscopic fringe projection profilometry (MFPP) with better measurement accuracy. In order to extend the depth of field limited in the microscopic environment, the Scheimpflug principle is commonly used in both single-camera-based and multi-camera-based MFPP systems by increasing the mutual overlap range of different views in the object space. In this paper, to compare the performance of single-camera-based and dual-camera-based MFPP systems, we set up MFPP systems and performed 3D measurements of plates, standard balls, and some specifically designed samples. By analyzing the various factors affecting measurement accuracy and integrity, we verified and concluded that the dual-camera-based system wins in measurement accuracy while the single-camera-based system has better integrity, which may provide a reference for the system design in the implementation of industrial applications.

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Section: Introductionmentioning

confidence: 99%

Microscopic fringe projection profilometry systems in Scheimpflug condition and performance comparison

Hu¹,

Zheng²,

Liang³

et al. 2022

Surf. Topogr.: Metrol. Prop.

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“…Three-dimensional (3D) shape measurement technique is becoming increasingly important in various applications. [1][2][3][4][5] Many measurement methods have been put forward to reconstruct the 3D shape of object surfaces, especially for the objects with diffused surfaces. [6][7][8][9][10] However, the research of 3D shape measurement for specular objects is still in the early stage.…”

Section: Introductionmentioning

confidence: 99%

Phase measuring deflectometry for obtaining 3D shape of specular surface: a review of the state-of-the-art

et al. 2021

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Phase measuring deflectometry (PMD) is a superior technique to obtain three-dimensional (3D) shape information of specular surfaces because of its advantages of large dynamic range, noncontact operation, full-field measurement, fast acquisition, high precision, and automatic data processing. We review the recent advances on PMD. The basic principle of PMD is introduced following several PMD methods based on fringe reflection. First, a direct PMD (DPMD) method is reviewed for measuring 3D shape of specular objects having discontinuous surfaces. The DPMD method builds the direct relationship between phase and depth data, without gradient integration procedure. Second, an infrared PMD (IR-PMD) method is reviewed to measure specular objects. Because IR light is used as a light source, the IR-PMD method is insensitive to the effect of ambient light on the measured results and has high measurement accuracy. Third, a proposed method is reviewed to measure the 3D shape of partial reflective objects having discontinuous surfaces by combining fringe projection profilometry and DPMD. Then, the effects of error sources that mainly include phase error and geometric calibration error on the measurement results are analyzed, and the performance of the 3D shape measurement system is also evaluated. Finally, the future research directions of PMD are discussed.

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“…Potential sources for measurement uncertainty in the DFP method include projector gamma nonlinearity [9][10][11], projector and camera quantization effects [12][13][14], and pixel intensity noise [15][16][17][18]. Substantial work has been made to quantify and mitigate the height profile measurement error caused by non-linear projector gamma [19][20][21][22] and other publications address measurement uncertainty and mitigation caused by projector and camera quantization [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

A probability density function model describing height estimation uncertainty due to image pixel intensity noise in digital fringe projection measurements

O’Dowd

Wachtor

Todd

2021

Optics and Lasers in Engineering

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Digital fringe projection is a surface-profiling technique used for highly accurate noncontact measurements. As with any measurement technique, a variety of sources degrade to the measurement accuracy of the method. This paper presents an analytically-derived probability density function that explicitly models the surface height measurement error due to inevitable phase measurement error, and it includes the specific case of pixel noise inducing the phase measurement error that ultimately leads to the height estimation error. The accuracy of the model was validated through Monte-Carlo simulations of resultant height distributions subject to arbitrarily correlated pixel intensity noise and experimental digital fringe projection measurements where the pixel-by-pixel height uncertainty estimations were compared to the predictions of the derived model.

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Generic exponential fringe model for alleviating phase error in phase measuring profilometry

Cited by 41 publications

References 22 publications

Microscopic fringe projection profilometry systems in Scheimpflug condition and performance comparison

Microscopic fringe projection profilometry systems in Scheimpflug condition and performance comparison

Phase measuring deflectometry for obtaining 3D shape of specular surface: a review of the state-of-the-art

A probability density function model describing height estimation uncertainty due to image pixel intensity noise in digital fringe projection measurements

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