MultiDIC: a MATLAB Toolbox for Multi-View 3D Digital Image Correlation

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

Summary

This is the official repository associated with the paper: MultiDIC: an Open-Source Toolbox for Multi-View 3D Digital Image Correlation (DOI: 10.1109/ACCESS.2018.2843725).
MultiDIC is an open-source MATLAB toolbox by Dana Solav. Three-dimensional (stereo) Digital Image Correlation (3D-DIC) is an important technique for measuring the mechanical behavior of materials. MultiDIC was developed to allow fast calibration and data merging even for a large number of cameras, and to be easily adaptable to different experimental requirements. MultiDIC integrates the 2D-DIC subset-based software Ncorr with several camera calibration algorithms to reconstruct 3D surfaces from multiple stereo image pairs. Moreover, it contains algorithms for merging multiple surfaces, and 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.
Check out this short video for a quick demonstration of MultiDIC's capabilities:

Installation

System Requirements

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

MATLAB

MultiDIC was developed on MATLAB versions R2017a and R2017b, 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 MultiDIC simply follow these two steps:

1. Get a copy of MultiDIC

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

2. Install (or add to path)

Use one of these two options:
a. In MATLAB, navigate to the unzipped MultiDIC folder, type installMultiDIC in the command window, and hit Enter.
b. In MATLAB, Add the MultiDIC folder (with subfolders) to the path and save the path definitions.

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:

MultiDIC: an Open-Source Toolbox for Multi-View 3D Digital Image Correlation
Dana Solav, Kevin M. Moerman, Aaron M. Jaeger, Katia Genovese, Hugh M. Herr
DOI: 10.1109/ACCESS.2018.2843725

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 danask (at) mit (dot) edu.

Application Highlights

These are some examples of figures obtained using MultiDIC:

Shape change and skin deformation induced by joint movement and muscle contraction

Shape change and skin deformation induced by indentation

Publications

Studies who have used MultiDIC:

1. MultiDIC: An Open-Source Toolbox for Multi-View 3D Digital Image Correlation
2. A framework for measuring the time-varying shape and full-field deformation of residual limbs using 3D digital image correlation

License

MultiDIC is provided under the Apache-2.0 license. The license file is found on the GitHub repository.