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Omnidirectional Vision Systems [electronic resource] : Calibration, Feature Extraction and 3D Information / by Luis Puig, J.J. Guerrero.

By: Puig, Luis [author.].
Contributor(s): Guerrero, J.J [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Computer Science: Publisher: London : Springer London : Imprint: Springer, 2013Description: XI, 122 p. 68 illus., 35 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781447149477.Subject(s): Computer science | Artificial intelligence | Image processing | Robotics | Automation | Computer Science | Image Processing and Computer Vision | Artificial Intelligence (incl. Robotics) | Robotics and AutomationAdditional physical formats: Printed edition:: No titleDDC classification: 006.6 | 006.37 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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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