Computer Vision

2014 Edition
| Editors: Katsushi Ikeuchi

Omnidirectional Vision

  • Peter Sturm
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-31439-6_489

Related Concepts

Definition

Omnidirectional vision consists of the theoretical and practical computer vision approaches devised for images acquired by omnidirectional cameras, that is, cameras with a very large field of view, typically hemispherical or larger.

Background

Most regular cameras have a restricted field of view, typically up to several tens of degrees. Omnidirectional cameras, on the contrary, have hemispheric or even larger, up to complete spherical, fields of view. Computer vision theories and algorithms dedicated to omnidirectional images are subsumed under the expression omnidirectional vision. Researchers working on omnidirectional vision have also proposed novel designs of omnidirectional cameras.

The interest of building omnidirectional cameras arose rather soon after the invention of photography, with the first known panoramic camera built in 1843 [1]. To be precise, this and other early panoramic cameras had a restricted vertical...

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References

  1. 1.
    . McBride B (2011) A timeline of panoramic cameras. http://www.panoramicphoto.com/timeline.htm. Accessed 3 Aug 2011
  2. 2.
    Tissandier G (1886) La photographie en ballon. Gauthier-Villars, ParisGoogle Scholar
  3. 3.
    Sturm P, Ramalingam S, Tardif JP, Gasparini S, Barreto J (2011) Camera models and fundamental concepts used in geometric computer vision. Found Trends Comput Graph Vis 6(1–2):1–183Google Scholar
  4. 4.
    Baker S, Nayar S (1999) A theory of single-viewpoint catadioptric image formation. Int J Comput Vis 35(2):1–22CrossRefGoogle Scholar
  5. 5.
    . Daniilidis K, Makadia A, Bülow T (2002) Image processing in catadioptric planes: spatiotemporal derivatives and optical flow computation. In: Proceedings of the workshop on omnidirectional vision, copenhagen, Denmark, pp 3–10Google Scholar
  6. 6.
    Bülow T (2002) Multiscale image processing on the sphere. In: Proceedings of the 24th DAGM symposium. Lecture notes in computer science, Zurich, Switzerland, vol 2449, pp 609–617Google Scholar
  7. 7.
    Nelson R, Aloimonos J (1988) Finding motion parameters from spherical motion fields (or the advantages of having eyes in the back of your head). Biol Cybern 58(4):261–273CrossRefGoogle Scholar
  8. 8.
    Yagi Y (1999) Omnidirectional sensing and applications. IEICE Trans Inf Syst E82-D(3):568–579Google Scholar
  9. 9.
    Benosman R, Kang S (eds) (2001) Panoramic vision. Springer, New YorkzbMATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Peter Sturm
    • 1
  1. 1.INRIA Grenoble Rhône-AlpesSt Ismier CedexFrance