Omnidirectional Vision Systems
Subtitle: Calibration, Feature Extraction and 3D Information
By: by Luis Puig, J.J. Guerrero
Contributors: Guerrero, J.J.; SpringerLink (Online service)
Series: SpringerBriefs in Computer Science
Publisher: Springer London; Imprint: Springer
Published: 2013
Place of publication: London
Language: eng
Format: [electronic resource] :
Number of pages: 122
ISBN-13: 9781447149477
Subjects: Image Processing and Computer Vision; Computer science; Robotics and Automation; Computer vision; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: This work focuses on central catadioptric systems, from the early step of calibration to high-level tasks such as 3D information retrieval. The book opens with a thorough introduction to the sphere camera model, along with an analysis of the relation between this model and actual central catadioptric systems. Then, a new approach to calibrate any single-viewpoint catadioptric camera is described.  This is followed by an analysis of existing methods for calibrating central omnivision systems, and a detailed examination of hybrid two-view relations that combine images acquired with uncalibrated central catadioptric systems and conventional cameras. In the remaining chapters, the book discusses a new method to compute the scale space of any omnidirectional image acquired with a central catadioptric system, and a technique for computing the orientation of a hand-held omnidirectional catadioptric camera.
Table of contents: title: Modeling Omnidirectional Vision Systems; title: Calibration of Omnidirectional Cameras Using a DLT-Like Approach; title: Comparison of Calibration Methods for Omnidirectional Cameras; title: Two-View Relations Between Omnidirectional and Conventional Cameras; title: Generic Scale Space for a Camera Invariant Feature Extractor; title: Orientation of a Hand-Held Catadioptric System in Man-Made Environments; title: Conclusions.