Description
Springer Image Correlation for Shape Motion and Deformation Measurements Basic ConceptsTheory and Applications by Michael A. Sutton, Jean Jose Orteu, Hubert Schreier
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._x000D__x000D__x000D_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._x000D_ Table of contents : - _x000D_
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._x000D_