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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