UID:
almahu_9949199575702882
Format:
XI, 236 p.
,
online resource.
Edition:
1st ed. 2001.
ISBN:
9783662045671
Series Statement:
Springer Series in Information Sciences ; 34
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783642084638
Additional Edition:
Printed edition: ISBN 9783540652830
Additional Edition:
Printed edition: ISBN 9783662045688
Language:
English
DOI:
10.1007/978-3-662-04567-1
URL:
https://doi.org/10.1007/978-3-662-04567-1
