Background The association of advanced digital image correlation (DIC) and numerical
simulation has been widely used for inverse parameter identification. Objective It is attractive …

Deep learning is expected to overcome the intractable challenges that traditional digital
image correlation (DIC) confronts in the measurement of extremely complex deformation …

Objective Today, cerebrovascular disease has become an important health hazard.
Therefore, it is necessary to perform a more accurate and less time-consuming registration …

Digital image correlation is used to measure deformation and shape. In some complex
scenes, the illumination of the measured surface may vary unevenly before and after …

TW transparent wood/polymer biocomposite laminates are of interest as multifunctional
materials with good longitudinal modulus, tensile strength and optical transmittance. The …

The structure of the train bottom is relatively complex and has many small components. The
failure of train bottom will threaten the safety of passengers, and train bottom monitoring is …

The stress borne by adhesive layers has drawn much attention to adhesive assembly since
considerable deformations are introduced to bonded structures. Rapid analysis of stress and …

Meshfree digital image correlation (MF-DIC) is a recently-proposed advanced DIC technique
that deeply integrates meshfree method with DIC. MF-DIC is of potential due to its close …

Abstract Deep learning-based Digital Image Correlation (Deep DIC) is considered a
potential method to overcoming the issues of Digital Image Correlation (DIC), such as …

Digital image correlation (DIC) is an image-based, non-contact optical measurement
technique for measuring the deformation of objects. Recently, deep learning has been …