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


Super Savings Item! Save 31% on the Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications by Brand: Springer at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. Image Correlation for Shape, Motion and Deformation Measurements provides a comprehensive overview of data extraction through image analysis. Readers


Product Description

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.

Additional Information

Manufacturer:Springer
Brand:Brand: Springer
Publisher:Springer
Studio:Springer
EAN:9780387787466
Item Weight:1.45 pounds
Item Size:0.81 x 9.21 x 9.21 inches
Package Weight:1.32 pounds
Package Size:6.14 x 0.87 x 0.87 inches

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

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

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