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Variational Analysis of Spherical Images

  • Atsushi Imiya
  • Hironobu Sugaya
  • Akihiko Torii
  • Yoshihiko Mochizuki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3691)

Abstract

This paper focuses on variational image analysis on a sphere. Since a sphere is a closed Riemannian manifold with the positive constant curvature and no holes, a sphere has similar geometrical properties with a plane, whose curvature is zero. Images observed through a catadioptric system with a conic-mirror and a dioptric system with fish-eye lens are transformed to images on the sphere. Therefore, in robot vision, image analysis on the sphere is an essential requirement to the application of the omni-directional imaging system with conic-mirror and fish-eye lens for navigation and control. We introduce algorithms for optical flow computation for images on a sphere.

Keywords

Unit Sphere Robot Vision Spherical Image Closed Riemannian Manifold Optical Flow Computation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Atsushi Imiya
    • 1
  • Hironobu Sugaya
    • 2
  • Akihiko Torii
    • 2
  • Yoshihiko Mochizuki
    • 2
  1. 1.Institute of Media and Information TechnologyChiba University 
  2. 2.School of Science and TechnologyChiba UniversityChibaJapan

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