Image correlation for shape, motion and deformation measurements : basic concepts, theory and applications

Michael A. Sutton (1) , Jean-José Orteu (2) , Hubert W. Schreier (1)

1 University of South Carolina [Columbia]
2 ICA - Institut Clément Ader

Image Correlation for Shape, Motion and Deformation Measurements provides a comprehensive overview of data extraction through image analysis. Readers will find and in-depth look into various single- and multi-camera models (2D-DIC and 3D-DIC), two- and three-dimensional computer vision, and volumetric digital image correlation (VDIC). Fundamentals of accurate image matching are described, along with presentations of both new methods for quantitative error estimates in correlation-based motion measurements, and the effect of out-of-plane motion on 2D measurements. Thorough appendices offer descriptions of continuum mechanics formulations, methods for local surface strain estimation and non-linear optimization, as well as terminology in statistics and probability. With equal treatment of computer vision fundamentals and techniques for practical applications, this volume is both a reference for academic and industry-based researchers and engineers, as well as a valuable companion text for appropriate vision-based educational offerings.

Domaines: Sciences de l'ingénieur [physics]

Michael A. Sutton, Jean-José Orteu, Hubert W. Schreier. Image correlation for shape, motion and deformation measurements : basic concepts, theory and applications. Springer, 321 p., 2009, 978-0-387-78746-6. ⟨10.1007/978-0-387-78747-3⟩. ⟨hal-01729219⟩