Image Correlation for Shape, Motion and Deformation Measurements

Here is a comprehensive overview of data extraction through image analysis. The book has an in-depth examination of single camera models, two- and three-dimensional computer vision, and single camera, multiple camera, and volumetric digital image correlation.

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.

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

Texte du rabat

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.

Résumé
Image Correlation for Shape, Motion and Deformation Measurements provides a comprehensive overview of data extraction through image analysis.

Contenu
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.