Status, challenges, and future perspectives of fringe projection profilometry

Xu, Jing; Zhang, Song

doi:10.1016/j.optlaseng.2020.106193

Cited by 285 publications

(90 citation statements)

References 221 publications

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“…In this method, an object is placed in the field of view of a camera and a projector; and its thickness is calculated by relating the amount of phase shift to out-of-plane position. 40 Temporal phase-shifting and spatial phase-shifting are the two methods used for extracting the thickness distribution using projected fringe patterns. 38 Temporal phase shifting offers lower computational load and higher spatial resolution in the absence of high thickness gradients (which is the case in typical VI applications with a constant number of layers throughout the part and without any inserts).…”

Section: Methodsmentioning

confidence: 99%

Monitoring and modeling of part thickness evolution in vacuum infusion process

Caglar

Hancioglu

Sozer

2020

Journal of Composite Materials

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The main hurdles in Vacuum Infusion (VI) are the difficulty in achieving complete mold filling and uniform part thickness. This study integrates process monitoring by full field thickness measurements and resin flow modeling that accounts for compaction and permeability characterizations of fabric reinforcements to assess the evolution of part thickness during filling and post-filling stages of VI process. A Structured Light Scanning system is used for full field thickness monitoring in experiments and a Control Volume Finite Element Method solver is implemented to couple resin flow with fabric’s compaction and permeability. Two cases are studied both experimentally and numerically. Evolutions of thickness and pressure validate the developed flow solver, its accuracy in terms of predicting fill times and fill patterns, suitability and limitations of the elastic compaction models for thickness modeling.

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Section: Methodsmentioning

confidence: 99%

Monitoring and modeling of part thickness evolution in vacuum infusion process

Caglar

Hancioglu

Sozer

2020

Journal of Composite Materials

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“…However, for 3D measurements based on structured light, different coding methods affect the measurement accuracy of the system on the technical level [ 45 , 46 ]. In 2018, Song Zhang [ 47 , 48 ] conducted research on the application of structured light technology in 3D profile measurement, introduced in detail the imaging principles and system calibration methods of structured light technology, compared the influence of different coding methods on the experimental results, and deeply analyzed the challenges and development trends of structured light technology. The research results of structured light stereo vision in recent years are introduced in the following according to their different coding methods.…”

Section: Multi-view Stereo Vision Measurement Methodsmentioning

confidence: 99%

Three-Dimensional Morphology and Size Measurement of High-Temperature Metal Components Based on Machine Vision Technology: A Review

Wen

Wang

Zhang

et al. 2021

Sensors

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The three-dimensional (3D) size and morphology of high-temperature metal components need to be measured in real time during manufacturing processes, such as forging and rolling. Since the surface temperature of a metal component is very high during the forming and manufacturing process, manually measuring the size of a metal component at a close distance is difficult; hence, a non-contact measurement technology is required to complete the measurement. Recently, machine vision technology has been developed, which is a non-contact measurement technology that only needs to capture multiple images of a measured object to obtain the 3D size and morphology information, and this technology can be used in some extreme conditions. Machine vision technology has been widely used in industrial, agricultural, military and other fields, especially fields involving various high-temperature metal components. This paper provides a comprehensive review of the application of machine vision technology in measuring the 3D size and morphology of high-temperature metal components. Furthermore, according to the principle and method of measuring equipment structures, this review highlights two aspects in detail: laser scanning measurement and multi-view stereo vision technology. Special attention is paid to each method through comparisons and analyses to provide essential technical references for subsequent researchers.

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“…Fringe projection profilometry (FPP), as an optical non-contact measurement technique, has attracted much attention from scholars and been used in various fields because of its advantages of fast speed and high accuracy [1][2][3]. In this technique, the designed fringe patterns are projected onto an object, deformed patterns captured by a camera could be used to retrieve the phase information for reconstructing the three-dimensional (3D) geometry of the tested object.…”

Section: Introductionmentioning

confidence: 99%

Period-Wise Phase Unwrapping Method With Two Gray Level Coding Patterns

et al. 2021

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Fringe projection profilometry is a widely used three-dimensional (3D) optical measurement technique. However, it is quite challenging to quickly obtain the 3D information of objects. Minimizing the number of patterns for phase unwrapping is an efficient way to address the above problem, and many methods have been proposed. This paper reports a period-wise phase unwrapping method with only two gray level coding patterns. Due to a hybrid coding strategy implemented, the number of patterns used in the proposed method reduces by one in comparison with conventional gray level method when generating the same number of codewords. A robust decoding scheme is also developed to determine the fringe order, and its accuracy is guaranteed by using the self-correcting method to remove the phase errors. Some experiments have been conducted, and their results confirm that the success of the proposed method.

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Status, challenges, and future perspectives of fringe projection profilometry

Cited by 285 publications

References 221 publications

Monitoring and modeling of part thickness evolution in vacuum infusion process

Monitoring and modeling of part thickness evolution in vacuum infusion process

Three-Dimensional Morphology and Size Measurement of High-Temperature Metal Components Based on Machine Vision Technology: A Review

Period-Wise Phase Unwrapping Method With Two Gray Level Coding Patterns

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