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.

Presents the first linear method to calibrate all central projection systems and fisheye cameras Introduces a generic approach to obtain the scale space of any central projection system, by combining the Riemannian geometry with the sphere camera model Explores the role of hybrid two-view relations to construct robust matching approaches Examines the problem of extracting conics from catadioptric images that represent the projections of straight lines Includes supplementary material: sn.pub/extras

Inhalt

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.