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Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications
Michael A. Sutton; Jean Jose Orteu; Hubert Schreier (Author)
·
Springer
· Hardcover
Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications - Michael A. Sutton; Jean Jose Orteu; Hubert Schreier
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Synopsis "Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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