Omnidirectional Vision Systems

Calibration, Feature Extraction and 3D Information

  • Luis Puig
  • J.J. Guerrero

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Luis Puig, J. J. Guerrero
    Pages 1-14
  3. Luis Puig, J. J. Guerrero
    Pages 87-99
  4. Luis Puig, J. J. Guerrero
    Pages 111-113
  5. Back Matter
    Pages 115-122

About this book


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.


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

Authors and affiliations

  • Luis Puig
    • 1
  • J.J. Guerrero
    • 2
  1. 1.I3AUniversity of ZaragozaZaragozaSpain
  2. 2.DIIS, I3AUniversity of ZaragozaZaragozaSpain

Bibliographic information