Basic Concepts,Theory and Applications
Sutton, Michael A. , Orteu, Jean-José, Schreier, Hubert
2009, XX, 364 p. 100 illus., Hardcover
ISBN: 978-0-387-78746-6
Contact : Jean-José ORTEU
Courriel : jean-jose-orteu@mines-albi.fr
Abstract
This book 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.
Written for:
Researchers and engineers involved with computer vision, digital image correlation, and shape and deformation measurements
Keywords:
- 2-D and 3-D computer vision
- deformation measurements
- digital image correlation (DIC)
- error assessment
- geometrical optics
- image correlation
- image matching
- in-plane measurements
- shape measurements
- speckle pattern