Digital Image Correlation (DIC) & Digital Volume Correlation (DVC) Digital Image Correlation (DIC) is a 3D, full-field, non-contact optical technique to measure contour, deformation, vibration and strain on almost any material. The technique can be used for many tests including tensile, torsion, bending and combined loading for both static and dynamics applications. The user acquires a series of images during a material testing experiment, with the first image normally being the case of zero applied load. With standard single camera or stereoscopic multi camera setups, 2D in-plane deformation or full 3D surface measurements are achieved. Local derivative calculations give the strain tensors across the entire surface, and a standard feature of StrainMaster is the ability to place a virtual strain gauge anywhere on the sample surface after the test, giving incredibly accurate strain data. Digital Volume Correlation (DVC) is a related analysis method with close ties to 2D-DIC. 3D-DIC successfully maps 3D deformations, but it does so by capturing planar images of the surface of a body only. The DVC algorithm is able to track full-field displacement information in the form of voxels instead of pixels. The theory is similar to above except that another dimension is added, the z-dimension. Instead of minimizing a coefficient based on the summed difference of intensity values in a subset of a planar image, minimization is done in a 3D-subset where intensity values corresponding to (x,y,z) values are compared to a standard and the summed difference minimized using predictive, 3D displacement fields. DVC can be done on any image dataset that represents a volume. Recently, the technique has been expanded by the development of confocal microscopy, which allows for the imaging and testing of live tissue samples with techniques such as Second-Harmonic Generation (SHG) and Two-photon excitation microscopy. DVC is currently considered to be ideal in the research world for 3D quantization of local displacements, strains, and stress in biological specimens. It is preferred because of the non-invasiveness of the method over traditional experimental methods.

High Speed Cameras and High Speed Imaging Systems are used worldwide in demanding environments where precise, accurate high speed photography recordings are a must for various details of impacts or motion analyses. The high-speed motion analyses provide in-depth visual insights into events that are not visible to human eye naturally.

High-speed motion analysis has been a primary tool to measure moving objects by the Automotive, Surveillance, Scientific Research, and Industrial communities for decades The photographic technique enables us to visualize and analyze motion, especially motion that is too fast for the human eye or conventional cameras to perceive.