Image Correlation for Shape, Motion and Deformation Measurements : Basic Concepts,Theory and Applications

Michael A. Sutton

ISBN 10: 1441946225 / ISBN 13: 9781441946225

Editore: Springer US, Springer US, 2010

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9781441946225

Dati bibliografici

• Titolo: Image Correlation for Shape, Motion and Deformation Measurements : Basic Concepts,Theory and Applications
• Editore: Springer US, Springer US
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1441946225
• ISBN 13: 9781441946225
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

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.