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 volumetr...

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Bibliographic Details
Main Authors: Schreier, Hubert. (Author), Orteu, Jean-Jos.̌ (Author), Sutton, Michael A. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: Boston, MA : Springer US, 2009.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-78747-3
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505 0 # |a Introduction -- 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 Assessment in Computer Vision -- Future Directions. 
520 # # |a 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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