Calibration and Orientation of Cameras in Computer Vision
By: edited by Armin Gruen, Thomas S. Huang
Contributors: Huang, Thomas S.
Series: Springer Series in Information Sciences -- 34; Springer Series in Information Sciences -- 34
Publisher: Springer Berlin Heidelberg
Published: 2001
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 236
ISBN-13: 9783642084638; 9783662045671
Subjects: Astrophysics; Computer vision; Computer simulation; Computer science
Description: 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.
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Also available in print.

Mode of access: World Wide Web.
Table of contents: title: Introduction; title: Minimum solutions for orientation; title: Generic estimation procedures for orientation with minimum and redundant information; title: Photogrammetric camera component calibration, A Review of analytical Techniques; title: Least-squares camera calibration including Lens Distortion and Automatic Editing of Calibration Points; title: Modeling and calibration of Variable-Parameter Camera Systems; title: System calibratin through Self-Calibration; title: Self-calibration of a stereo rig from unknown Camera Motions and Point Correspondences.