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Computer Science - Image Processing | Omnidirectional Vision Systems - Calibration, Feature Extraction and 3D Information

Omnidirectional Vision Systems

Calibration, Feature Extraction and 3D Information

Puig, Luis, Guerrero, J J

2013, XI, 122 p. 68 illus., 35 illus. in color.

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  • 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

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.

Content Level » Research

Keywords » Camera Calibration - Catadioptric Systems - Hybrid Fundamental Matrix - Hybrid Homography - Omnidirectional Cameras - Scale Space for Central Projection Systems

Related subjects » Artificial Intelligence - Image Processing - Robotics

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