Learn more about the fundamentals of digital image correlation (DIC) in this video featuring Correlated Solutions sales engineer, Elisha Byrne.

This is the first of three in our new short course on digital image correlation. This presentation covers general principles and theories that form the foundation of DIC. In it, we cover definitions, common uses, and pattern requirements. We discuss theory on how DIC measures shapes and displacements by temporal tracking of pixel subsets, stereo-correlation of subsets, and stereo-triangulation. The latter utilizes the calibration model to perform a 3D reconstruction of the object. Strain computations are then made from the displacements of neighboring points followed by the application of a user-defined low-pass decay filter. This is how 3D DIC obtains full-field 3D shape, deformation, and strain data on any surface with a speckle pattern and imaged with two cameras.