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| Preface | |
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| Acknowledgements | |
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| Notation and Abbreviations | |
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| Introduction | |
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| Stereo-pair Images and Depth Perception | |
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| 3D Vision Systems | |
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| 3D Vision Applications | |
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| Contents Overview: The 3D Vision Task in Stages | |
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| Brief History of Research on Vision | |
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| Abstract | |
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| Retrospective of Vision Research | |
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| Closure | |
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| 3 2D and 3D Vision Formation | |
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| Abstract | |
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| Human Visual System | |
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| Geometry and Acquisition of a Single Image | |
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| Stereoscopic Acquisition Systems | |
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| Stereo Matching Constraints | |
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| Calibration of Cameras | |
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| Practical Examples | |
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| Appendix: Derivation of the Pin-hole Camera Transformation | |
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| Closure | |
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| Low-level Image Processing for Image Matching | |
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| Abstract | |
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| Basic Concepts | |
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| Discrete Averaging | |
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| Discrete Differentiation | |
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| Edge Detection | |
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| Structural Tensor | |
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| Corner Detection | |
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| Practical Examples | |
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| Closure | |
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| Scale-space Vision | |
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| Abstract | |
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| Basic Concepts | |
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| Constructing a Scale-space | |
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| Multi-resolution Pyramids | |
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| Practical Examples | |
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| Closure | |
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| Image Matching Algorithms | |
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| Abstract | |
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| Basic Concepts | |
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| Match Measures | |
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| Computational Aspects of Matching | |
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| Diversity of Stereo Matching Methods | |
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| Area-based Matching | |
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| Area-based Elastic Matching | |
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| Feature-based Image Matching | |
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| Gradient-based Matching | |
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| Method of Dynamic Programming | |
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| Graph Cut Approach | |
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| Optical Flow | |
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| Practical Examples | |
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| Closure | |
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| Space Reconstruction and Multiview Integration | |
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| Abstract | |
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| General 3D Reconstruction | |
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| Multiview Integration | |
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| Closure | |
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| Case Examples | |
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| Abstract | |
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| 3D System for Vision-Impaired Persons | |
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| Face and Body Modelling | |
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| Clinical and Veterinary Applications | |
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| Movie Restoration | |
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| Closure | |
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| Basics of the Projective Geometry | |
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| Abstract | |
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| Homogeneous Coordinates | |
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| Point, Line and the Rule of Duality | |
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| Point and Line at Infinity | |
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| Basics on Conics | |
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| Group of Projective Transformations | |
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| Projective Invariants | |
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| Closure | |
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| Basics of Tensor Calculus for Image Processing | |
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| Abstract | |
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| Basic Concepts | |
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| Change of a Base | |
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| Laws of Tensor Transformations | |
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| The Metric Tensor | |
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| Simple Tensor Algebra | |
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| Closure | |
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| Distortions and Noise in Images | |
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| Abstract | |
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| Types and Models of Noise | |
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| Generating Noisy Test Images | |
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| Generating Random Numbers with Normal Distributions | |
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| Closure | |
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| Image Warping Procedures | |
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| Abstract | |
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| Architecture of the Warping System | |
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| Coordinate Tran | |