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Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications

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TLDR
In this paper, a comprehensive overview of image correlation for shape, motion and deformation measurements is provided. But, the authors do not discuss the effect of out-of-plane motion on 2D measurements.
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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Calibration of concrete parameters based on digital image correlation and inverse analysis

TL;DR: In this paper, a robust calibration procedure of essential material parameters of concrete models, based on both full-field measurements and inverse analysis, is presented, which reduces the time needed for testing and provides a relatively fast calibration of the selected parameters through minimization of discrepancies both of experimentally measured displacement fields on the specimen surface and of numerically computed corresponding quantities.
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