DuoDIC: a MATLAB Toolbox for stereo 3D Digital Image Correlation (3D-DIC)

Cite DuoDIC:

• Summary
• Installation
• Getting started
• Citing
• Contributing
• License
• Application Highlights

Summary

DuoDIC is an open-source MATLAB toolbox by Dana Solav's research group at Technion for three-dimensional (stereo) Digital Image Correlation (3D-DIC) using two cameras. For multi-view (3 cameras or more), please visit our MultiDIC toolbox. 3D-DIC is an important technique for measuring the mechanical behavior of materials. DuoDIC was developed to allow simple calibration and data processing, and to be easily adaptable to different experimental requirements. DuoDIC integrates the 2D-DIC subset-based software Ncorr with MATLAB's camera calibration algorithms to reconstruct 3D surfaces from stereo image pairs. Moreover, it contains algorithms for computing and visualizing 3D displacement, deformation and strain measures. High-level scripts allow users to perform 3D-DIC analyses with minimal interaction with MATLAB syntax, while proficient MATLAB users can also use stand-alone functions and data-structures to write custom scripts for specific experimental requirements. Comprehensive documentation, instruction manual, and sample data are included.

Installation

System Requirements

DuoDIC was developed and tested on 64-bit Windows 10 and has not yet been tested on other platforms.

MATLAB

DuoDIC was developed on MATLAB versions R2021a and R2021b, and has not yet been tested on prior versions.

MATLAB toolbox dependencies:

• Image Processing Toolbox
• Computer Vision System Toolbox
• Statistics and Machine Learning Toolbox

Installation Instructions

To install DuoDIC simply follow these two steps:

1. Get a copy of DuoDIC

Use one of these two options:
a. Clone DuoDIC using: git clone https://github.com/SolavLab/DuoDIC.git.
b. Download and unzip the latest zip file.

2. Install

In MATLAB, navigate to the (unzipped) DuoDIC folder, type installDuoDIC in the command window, and hit Enter.

Getting started

Check out the instruction manual. It should have all the information you need to get started.

Citing

This is the official repository for the paper: DuoDIC: 3D Digital Image Correlation in MATLAB'
DOI:

Please cite this paper if you use the toolbox.

Contributing

If you wish to contribute code/algorithms to this project, or to propose a collaboration study, please send an email to [email protected] .

License

DuoDIC is provided under the . The license file is found on the GitHub repository.

Application Highlights

These are some examples of figures obtained directly using DuoDIC:

Diplacement and principal strain fields of a dogbone sample under uniaxial tension