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Discusses the fundamentals, theoretical improvements and practical applications of digital image correlation (DIC)
Provides in-depth coverage of quantitative measurement techniques – a crucial topic missing in competitive texts
Written by established experts well known to the DIC and computer vision communities
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
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.
Bibliographic Information
Book Title: Image Correlation for Shape, Motion and Deformation Measurements
Book Subtitle: Basic Concepts,Theory and Applications
Authors: Hubert Schreier, Jean-José Orteu, Michael A. Sutton
DOI: https://doi.org/10.1007/978-0-387-78747-3
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Verlag-US 2009
Hardcover ISBN: 978-0-387-78746-6Published: 26 March 2009
Softcover ISBN: 978-1-4419-4622-5Published: 05 November 2010
eBook ISBN: 978-0-387-78747-3Published: 21 April 2009
Edition Number: 1
Number of Pages: XX, 322
Number of Illustrations: 100 b/w illustrations
Topics: Solid Mechanics, Characterization and Evaluation of Materials, Image Processing and Computer Vision, Classical Mechanics, Signal, Image and Speech Processing