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Fast Iterative Digital Volume Correlation Algorithm

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FranckLab/FIDVC

From FranckLab:

The Fast Iterative Digital Volume Correlation Algorithm (FIDVC) is the next generation DVC algorithm providing significantly improved signal-to-noise, and large (finite) deformation (incl. large rotations and image stretches) capture capability at low computational cost (please see Bar-Kochba, Toyjanova et al., Exp. Mechanics, 2014 for more details).

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Warning: this code is still under active development (even though it's in the "master" branch). It's probably not ready for much serious use. The MATLAB Parallel Toolbox is required.

  • Adds a rather simplistic paralization for MATLAB, with "parfor" for some of the longer-running for loops
  • This gives a speedup factor of about 1.8 for 24 processors on a relatively complex image, but slightly less than 1 on the example data. YMMV
  • Adds data output for ParaView via the vtkwrite function from the Mathworks File Exchange with paraviewOutput.m
  • Rename folder to remove spaces
  • Warning: this has not be tested extensively or for many cases (no testing other than for the example data and my own preliminary uses has been conducted).

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Fast Iterative Digital Volume Correlation Algorithm

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  • MATLAB 91.4%
  • C++ 8.6%