Advances in Two-Dimensional and Three-Dimensional Computer Vision

Abstract

The foundations of two- and three-dimensional image correlation, as well as recent developments, are described in detail. The versatility and robust- ness of these methods are illustrated through application examples from diverse areas including fracture mechanics, biomechanics, constitutive property measure- ment in complex materials, model verification for large, flawed structures and non- destructive evaluation. A detailed description of experimental and data-reduction procedures is presented for the application of the two-dimensional image-correlation method to thin-sheet mixed-mode I/II fracture studies, local crack-closure measure- ments using optical microscopy and the measurement of constitutive properties. Application examples using three-dimensional image correlation include profiling of components for reverse engineering and manufacturing and the measurement of full-field surface deformation during wide cracked panel tensile tests for verification of buckling and crack-growth models. Results from nearly sixteen years of use have demonstrated that both two-dimensional and three-dimensional image-correlation methods are robust and accurate tools for deformation measurements in a variety of applications. The range of uses for the two- and three-dimensional image-correlation methods is growing rapidly as scientists and engineers begin to understand their true capabilities.