&lt;title&gt;Phase-measuring methods for measurement of three-dimensional shapes in automated inspection of manufactured electronic assemblies&lt;/title&gt;

Pearson, Jeremy D.; Lilley, Francis; Burton, David R.; Atkinson, John; Kshirsagar, S. P.; Search, David J.; Hobson, Clifford Allan

doi:10.1117/12.171213

Cited by 6 publications

(3 citation statements)

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“…Moiré topography with the phase shifting technique can obtain much higher accuracy, but it requires the complicated phase shifting arrangement. In automated three-dimensional shape inspection of manufactured electronic assemblies, PMP and FTP are two major proposed methods [10]. In the FTP method, a grating pattern projected onto the object surface is modulated by the height distribution of the object, and then the deformed fringe pattern is Fourier transformed and processed in its spatial frequency domain as well as in its space signal domain to demodulate the object shape from the main frequency component in the Fourier spectra.…”

Section: Introductionmentioning

confidence: 99%

A High Precision Three-Dimensional Optical Sensor Using Fourier Transform Profilometry

Sung

Tien²,

Lin

et al. 2005

KEM

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Automatic measurement of an object shape is very important in solid modeling, machine vision, industrial inspection, and medical diagnostics, etc. We propose an optical sensor, which comprises a telecentric projector with a sinusoidal grating and a linear CCD camera. We use the FTP (Fourier transform profilometry) method to make a measurement on three-dimensional object. In the FTP method, a grating pattern projected onto the object surface is modulated by the height distribution of the object. The deformed fringe pattern is Fourier transformed and processed in the spatial frequency domain as well as in the space signal domain to demodulate the object shape from the main frequency component in the Fourier spectra. This optical sensor provides a rapid and non-invasive three-dimensional image acquisition. The repeatability is better than 5 µm within the 3σ limits.

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Section: Introductionmentioning

confidence: 99%

A High Precision Three-Dimensional Optical Sensor Using Fourier Transform Profilometry

Sung

Tien²,

Lin

et al. 2005

KEM

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“…The images of the deformed fringe pattern and the original fringe pattern projected on a reference plane are captured by a charge-coupled device (CCD) camera and are processed to reconstruct the profile of objects. To reconstruct the 3-D surface information from the fringe pattern images, a number of fringe pattern analysis methods have been developed, including Fourier transform profilometry (FTP) [1]- [4], phase shifting profilometry [5]- [8], spatial phase detection [9], phase-locked loop profilometry [10], and other analysis methods [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Study on Generalized Analysis Model for Fringe Pattern Profilometry

Yang

et al. 2008

IEEE Trans. Instrum. Meas.

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This paper presents a generalized analysis model for fringe pattern profilometry. We mathematically derived a new analysis model that gives a more general expression of the relationship between projected and deformed fringe patterns. Meanwhile, based on the proposed generalized model, a new algorithm is presented to retrieve 3-D surfaces from nonlinearly distorted fringes.Without any prior knowledge about the projection system, we still can obtain very accurate measurement results by using a generalized analysis model and a proposed algorithm. Computer simulation and experimental results show that the generalized model and the proposed algorithm can significantly improve the 3-D reconstruction precision, especially when the projected fringe pattern is nonlinearly distorted. Disciplines Physical Sciences and Mathematics

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“…The images of the deformed fringe pattern and the original fringe pattern projected on a reference plane are captured by a CCD camera and are processed to reconstruct the profile of objects. In order to reconstruct the 3-D surface information from the fringe pattern images, a number of fringe pattern analysis methods have been developed, including Fourier Transform Profilometry(FTP) [1], [2], [3], [4], Phase Shifting Profilometry (PSP) [5], [6], [7], [8], Spacial Phase Detection (SPD) [9], Phase Locked Loop (PLL) [10] and other analysis methods [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Generalized Analysis Model for Fringe Pattern Profilometry

Yang

et al.

2005 IEEE Instrumentationand Measurement Technology Conference Proceedings

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In this paper, a generalized analysis model for fringe pattern profilometry is presented. The new analysis model is derived mathematically, which describes the essential relationships between projected and deformed fringe patterns. With generalized analysis model, the projected fringe patterns used for profilometry can be arbitrary rather than being limited to be sinusoidal as those for the conventional approaches. Meanwhile, based on the proposed generalized model, a new algorithm is presented to reconstruct three-dimensional surfaces.Computer simulation results show that compared with the conventional model for fringe pattern profilometry, the generalized model and the proposed algorithm can significantly improve the three-dimensional reconstruction accuracy, especially when the projected fringe pattern is distorted by some unknown factors. Disciplines Physical Sciences and Mathematics

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<title>Phase-measuring methods for measurement of three-dimensional shapes in automated inspection of manufactured electronic assemblies</title>

Cited by 6 publications

References 0 publications

A High Precision Three-Dimensional Optical Sensor Using Fourier Transform Profilometry

A High Precision Three-Dimensional Optical Sensor Using Fourier Transform Profilometry

Study on Generalized Analysis Model for Fringe Pattern Profilometry

Generalized Analysis Model for Fringe Pattern Profilometry

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