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This book brings together concepts and approaches from the fields of photogrammetry and computer vision. In particular, it examines techniques relating to quantitative image analysis, such as orientation, camera modelling, system calibration, self-calibration and error handling. The chapters have been contributed by experts in the relevant fields, and there are examples from automated inspection systems and other real-world cases. The book provides study material for students, researchers, developers and practitioners.
1 Introduction.- 2 Minimum Solutions for Orientation.- 3 Generic Estimation Procedures for Orientation with Minimum and Redundant Information.- 4 Photogrammetric Camera Component Calibration: A Review of Analytical Techniques.- 5 Least-Squares Camera Calibration Including Lens Distortion and Automatic Editing of Calibration Points.- 6 Modeling and Calibration of Variable-Parameter Camera Systems.- 7 System Calibration Through Self-Calibration.- 8 Self-Calibration of a Stereo Rig from Unknown Camera Motions and Point Correspondences.