Image Correlation for Shape, Motion and Deformation Measurements (eBook)
XX, 322 Seiten
Springer US (Verlag)
978-0-387-78747-3 (ISBN)
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.
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.
Preface 7
Acknowledgements 10
Overview 11
Contents 13
Chapter 1 Introduction 19
Chapter 2 Elements of Geometrical Optics 31
Chapter 3 Single Camera Models and Calibration Procedures in Computer Vision 45
Chapter 4 Two-Dimensional and Three-Dimensional Computer Vision 82
Chapter 5 Digital Image Correlation (DIC) 98
Chapter 6 In-Plane Measurements 135
Chapter 7 Stereo-vision System Applications 190
Chapter 8 Volumetric Digital Image Correlation (VDIC) 224
Chapter 9 Error Estimation in Stereo-vision 240
Chapter 10 Practical Considerations for Accurate Measurements with DIC 244
APPENDICES 268
Appendix A Continuum Mechanics Formulation for Deformations 269
Appendix B Elements of Linear Algebra 275
Appendix C Method for Local Surface Strain Estimation 282
Appendix D Methods of Non-linear Optimization and Parameter Estimation 285
Appendix E Terminology in Statistics and Probability 293
Appendix F Basics of Projective Geometry 297
Appendix G Rotation Tensor Formulations 299
Appendix H Spline Functions 301
Appendix I Triangulation – Location of 3D Position with Skew Rays 307
References 310
Index 328
Erscheint lt. Verlag | 21.4.2009 |
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Zusatzinfo | XX, 322 p. 100 illus. |
Verlagsort | New York |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Grafik / Design |
Naturwissenschaften ► Physik / Astronomie | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Maschinenbau | |
Schlagworte | 2-D and 3-D computer vision • Calibration • computer vision • Continuum Mechanics • Deformation • deformation measurements • digital image correlation (DIC) • error assessment • geometrical optics • Image Analysis • image correlation • image matching • in-plane measurements • Mechanics • Optimization • shape m • shape measurements • speckle pattern |
ISBN-10 | 0-387-78747-X / 038778747X |
ISBN-13 | 978-0-387-78747-3 / 9780387787473 |
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