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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Sutton, Michael A. (Autor), Orteu, Jean Jose (Autor), Schreier, Hubert (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Image Correlation for Shape, Motion and Deformation Measurements  |h [electronic resource] :  |b Basic Concepts,Theory and Applications /  |c by Michael A. Sutton, Jean Jose Orteu, Hubert Schreier. 
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505 0 |a 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. 
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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700 1 |a Schreier, Hubert.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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