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Omnidirectional Vision Systems

by Puig, Luis.
Authors: Guerrero, J.J.%author. | SpringerLink (Online service) Series: SpringerBriefs in Computer Science, 2191-5768 Physical details: XI, 122 p. 68 illus., 35 illus. in color. online resource. ISBN: 1447149475 Subject(s): Computer science. | Artificial intelligence. | Computer vision. | Computer Science. | Image Processing and Computer Vision. | Artificial Intelligence (incl. Robotics). | Robotics and Automation.
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E-Book E-Book AUM Main Library 006.6 (Browse Shelf) Not for loan

Modeling Omnidirectional Vision Systems -- Calibration of Omnidirectional Cameras Using a DLT-Like Approach -- Comparison of Calibration Methods for Omnidirectional Cameras -- Two-View Relations Between Omnidirectional and Conventional Cameras -- Generic Scale Space for a Camera Invariant Feature Extractor -- Orientation of a Hand-Held Catadioptric System in Man-Made Environments -- Conclusions.

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.

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