Image Correlation for Shape, Motion and Deformation Measurements
Basic Concepts,Theory and Applications
Sutton, Michael A., Orteu, Jean Jose, Schreier, Hubert
2009, XX, 322 p. 100 illus.
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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
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.
Elements of Geometrical Optics.- Single Camera Models and Calibration Procedures in Computer Vision.- Two-Dimensional and Three-Dimensional Computer Vision.- Digital Image Correlation (DIC).- In-Plane Measurements.- Stereo-vision System Applications.- Volumetric Digital Image Correlation (VDIC).- Error Estimation in Stereo-Vision.- Practical Considerations for Accurate Measurements with DIC.