Three-dimensional digital image correlation technique using single high-speed camera for measuring large out-of-plane displacements at high framing rates

Pankow, Mark; Justusson, Brian; Waas, Anthony M.

doi:10.1364/ao.49.003418

Cited by 119 publications

(35 citation statements)

References 16 publications

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“…Therefore, 2D-DIC is optimal for deformation tracking of planar specimens showing a small out-of-plane contraction under planar deformation, whereas 3D-DIC is recommended for non-planar specimens or planar specimens undergoing significant rotations and out-of-plane displacements. However, some experimental conditions discourage the use of 3D-DIC, such as (1) high magnification, and therefore small depth of field [19], which can be an issue if the specimen deforms substantially in the out-of-plane direction, (2) a highly controlled environment during mechanical testing, which might limit the accessibility for two-angled cameras [20], (3) high-speed experiments, for which both cameras need to be perfectly synchronized [21], or (4) stiff membranes, for which the out-of-plane deformation is small and might not be accurately measured by 3D-DIC. Some of these conditions have motivated recent developments of techniques to measure 3D deformations using images acquired with a single camera [20–24].…”

Section: Introductionmentioning

confidence: 99%

A comparison of 2D and 3D digital image correlation for a membrane under inflation

Murienne

Nguyen

2016

Optics and Lasers in Engineering

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Three-dimensional (3D) digital image correlation (DIC) is becoming widely used to characterize the behavior of structures undergoing 3D deformations. However, the use of 3D-DIC can be challenging under certain conditions, such as high magnification, and therefore small depth of field, or a highly controlled environment with limited access for two-angled cameras. The purpose of this study is to compare 2D-DIC and 3D-DIC for the same inflation experiment and evaluate whether 2D-DIC can be used when conditions discourage the use of a stereo-vision system. A latex membrane was inflated vertically to 5.41 kPa (reference pressure), then to 7.87 kPa (deformed pressure). A two-camera stereo-vision system acquired top-down images of the membrane, while a single camera system simultaneously recorded images of the membrane in profile. 2D-DIC and 3D-DIC were used to calculate horizontal (in the membrane plane) and vertical (out of the membrane plane) displacements, and meridional strain. Under static conditions, the baseline uncertainty in horizontal displacement and strain were smaller for 3D-DIC than 2D-DIC. However, the opposite was observed for the vertical displacement, for which 2D-DIC had a smaller baseline uncertainty. The baseline absolute error in vertical displacement and strain were similar for both DIC methods, but it was larger for 2D-DIC than 3D-DIC for the horizontal displacement. Under inflation, the variability in the measurements were larger than under static conditions for both DIC methods. 2D-DIC showed a smaller variability in displacements than 3D-DIC, especially for the vertical displacement, but a similar strain uncertainty. The absolute difference in the average displacements and strain between 3D-DIC and 2D-DIC were in the range of the 3D-DIC variability. Those findings suggest that 2D-DIC might be used as an alternative to 3D-DIC to study the inflation response of materials under certain conditions.

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Section: Introductionmentioning

confidence: 99%

A comparison of 2D and 3D digital image correlation for a membrane under inflation

Murienne

Nguyen

2016

Optics and Lasers in Engineering

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“…It should be noted that for optimal performance, the idealised speckle pattern should be modified to match the field of view and resolution; however, this work utilised the same pattern in each case; therefore, it may be possible to improve these results further. However, the achieved accuracy is consistently around 200 times greater than the optical resolution, comparable to other DIC systems, and as such we would expect this to give marginal improvements.…”

Section: Displacement Accuracymentioning

confidence: 75%

A single camera three‐dimensional digital image correlation system for the study of adiabatic shear bands

White

Patten

Wan

et al. 2017

Strain

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We describe the capability of a high resolution three-dimensional digital image correlation (DIC) system specifically designed for high strain-rate experiments. Utilising open-source camera calibration and two-dimensional digital image correlation tools within the MATLAB framework, a single camera 3-D DIC system with sub-micron displacement resolution is demonstrated. The system has a displacement accuracy of up to 200 times the optical spatial resolution, matching that achievable with commercial systems. The surface strain calculations are benchmarked against commercially available software before being deployed on quasistatic tests showcasing the ability to detect both in-and out-of-plane motion. Finally, a high strain-rate (1.2×10 3 s −1 ) test was performed on a top-hat sample compressed in a split-Hopkinson pressure bar in order to highlight the inherent camera synchronisation and ability to resolve the adiabatic shear band phenomenon.

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“…The author is also interested in reducing the stereovision system to a monocular one as suggested by [20], where the images are recorded using a single camera and a series of mirrors playing the role of virtual cameras.…”

Section: Discussionmentioning

confidence: 99%

Hybrid 3D Dynamic Measurement by Particle Swarm Optimization and Photogrammetric Tracking

Shahbazi¹

2013

Measurement Science Review

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High-accuracy motion modeling in three dimensions via digital images has been increasingly the matter of interest in photogrammetry and computer vision communities. Although accurate sub-pixel image registration techniques are the key elements of measurement, they still demand enhanced intelligence, autonomy, and robustness. In this paper, a new correlationbased technique of stereovision is proposed to perform inter-frame feature tracking, inter-camera image registration, and to measure the 3D state vector of features simultaneously. The developed algorithm is founded on population-based intelligence (particle swarm optimization) and photogrammetric modeling. The proposed technique is mainly aimed at reducing the computational complexities of non-linear optimization methods of digital image registration for deformation measurement, and passing through 2D image correlation to 3D motion modeling. The preliminary results have illustrated the feasibility of this technique to detect and measure sub-millimeter deformations by performing accurate, sub-pixel image registration.

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Three-dimensional digital image correlation technique using single high-speed camera for measuring large out-of-plane displacements at high framing rates

Cited by 119 publications

References 16 publications

A comparison of 2D and 3D digital image correlation for a membrane under inflation

A comparison of 2D and 3D digital image correlation for a membrane under inflation

A single camera three‐dimensional digital image correlation system for the study of adiabatic shear bands

Hybrid 3D Dynamic Measurement by Particle Swarm Optimization and Photogrammetric Tracking

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