Omnidirectional Vision Systems Calibration, Feature Extraction and 3D Information /

• Κύριοι συγγραφείς: Puig, Luis (Συγγραφέας), Guerrero, J.J (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2013.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Computer science.; Artificial intelligence.; Image processing.; Robotics.; Automation.; Computer Science.; Image Processing and Computer Vision.; Artificial Intelligence (incl. Robotics).; Robotics and Automation.

 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. 

 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.