Omnidirectional Vision Systems, 2013 Calibration, Feature Extraction and 3D Information SpringerBriefs in Computer Science Series
Auteurs : Puig Luis, Guerrero J J
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
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
Date de parution : 02-2013
Ouvrage de 122 p.
15.5x23.5 cm
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