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Depth-guided DIC for 3D shape, deformation, and strain measurement on discontinuous surfaces
Optics Express
|August 13, 2025
Summary
A new depth-guided digital image correlation (DIC) method accurately measures 3D deformation and strain on discontinuous surfaces. This technique overcomes limitations of traditional DIC for complex geometries, improving precision in structural and bioinspired engineering.
Area of Science:
- Engineering
- Materials Science
- Optics
Background:
- Digital image correlation (DIC) is a key vision-based technique for measuring deformation and strain.
- Traditional DIC methods struggle with discontinuous surfaces, leading to biased measurements due to inaccurate shape descriptions.
Purpose of the Study:
- To develop an accurate 3D measurement method for discontinuous surfaces using DIC.
- To enhance the precision of deformation and strain analysis in complex geometries.
Main Methods:
- A depth-guided DIC approach was proposed, linking image deformation to 3D object shape.
- Fringe projection profilometry (FPP) was used to capture detailed 3D surface data.
- A novel strategy involved splitting and regenerating subsets for iterative DIC computations.
Main Results:
- The method accurately captures 3D shape, deformation, and strain on discontinuous surfaces.
- Matching errors were found to be directly related to the object's 3D geometry.
- Significant improvements in displacement and strain field analysis precision were demonstrated.
Conclusions:
- The depth-guided DIC method offers accurate 3D measurements for complex surfaces.
- This technique has valuable applications in structural mechanics and bioinspired engineering.
- It overcomes limitations of standard DIC for objects with abrupt geometric changes.
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