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

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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.

Author(s): Luis Puig, J.J. Guerrero (auth.)
Series: SpringerBriefs in Computer Science
Edition: 1
Publisher: Springer-Verlag London
Year: 2013

Language: English
Pages: 122
Tags: Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Robotics and Automation

Front Matter....Pages i-xi
Modeling Omnidirectional Vision Systems....Pages 1-14
Calibration of Omnidirectional Cameras Using a DLT-Like Approach....Pages 15-32
Comparison of Calibration Methods for Omnidirectional Cameras....Pages 33-64
Two-View Relations Between Omnidirectional and Conventional Cameras....Pages 65-86
Generic Scale-Space for a Camera Invariant Feature Extractor....Pages 87-99
Orientation of a Hand-Held Catadioptric System in Man-Made Environments....Pages 101-110
Conclusions....Pages 111-113
Back Matter....Pages 115-122