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

di Michael A. Sutton (Autore)

Jean Jose Orteu (Autore)

Hubert Schreier (Autore)

Springer-Verlag New York Inc., 2010

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.

• Autore: Michael A. Sutton, Jean Jose Orteu, Hubert Schreier
• Editore: Springer-Verlag New York Inc.
• Anno: 2010
• Rilegatura: Paperback / softback
• Pagine: 322 p.
• Dimensioni: 235 x 155 mm
• Peso: 577 gr.
• EAN: 9781441946225

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