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Foreword Preface Acknowledgements Contents Acronyms Listings 1 Introduction 1.1 The Prodigy of Vision 1.2 Low-Level Computer Vision 1.3 Overview of the Book 1.4 Notation References 2 Fundamentals of Imaging 2.1 Introduction 2.2 Perspective 2.3 Digital Images 2.4 Thin Lenses 2.4.1 Telecentric Optics 2.5 Radiometry References 3 The Pinhole Camera Model 3.1 Introduction 3.2 Pinhole Camera 3.3 Simplified Pinhole Model 3.4 General Pinhole Model 3.4.1 Intrinsic Parameters 3.4.1.1 Field of View 3.4.2 Extrinsic Parameters 3.5 Dissection of the Perspective Projection Matrix 3.5.1 Collinearity Equations 3.6 Radial Distortion Problems References 4 Camera Calibration 4.1 Introduction 4.2 The Direct Linear Transform Method 4.3 Factorisation of the Perspective Projection Matrix 4.4 Calibrating Radial Distortion 4.5 The Sturm-Maybank-Zhang Calibration Algorithm Problems References 5 Absolute and Exterior Orientation 5.1 Introduction 5.2 Absolute Orientation 5.2.1 Orthogonal Procrustes Analysis 5.3 Exterior Orientation 5.3.1 Fiore's Algorithm 5.3.2 Procrustean Method 5.3.3 Direct Method Problems References 6 Two-View Geometry 6.1 Introduction 6.2 Epipolar Geometry 6.3 Fundamental Matrix 6.4 Comput

Who reads Computer Vision: Three-dimensional Reconstruction Techniques?

Author

Andrea Fusiello

Publisher

Springer International Publishing AG

Published

2022

Language

EN

ISBN

9783031345067

Category

nonfiction

Subjects

Engineering, Stem