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 vo...

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Auteurs principaux: Sutton, Michael A., 19..-, Orteu, Jean-José, 19..- (Auteur), Schreier, Hubert W., 19..- (Auteur)
Formato: Livre numérique
Idioma:Anglais
Publicado: Boston : Springer [20..].
Cham : Springer Nature
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Image correlation for shape, motion and deformation measurements, basic concepts, theory and applications, Michael A. Sutton, Jean-José Orteu, Hubert W. Schreier, 2009, Boston, Springer, 1 vol. (XX-321 p.), 978-0-387-78746-6
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Résumé:"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"
descrición da copia:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9780387787473 (PDF)
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