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

Abstract : 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.
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https://hal-mines-albi.archives-ouvertes.fr/hal-01729219
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Submitted on : Monday, March 12, 2018 - 2:28:14 PM
Last modification on : Friday, October 11, 2019 - 8:22:58 PM

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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⟩

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