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Mosaicing with Strips on Adaptive Manifolds

  • S. Peleg
  • B. Rousso
  • A. Rav-Acha
  • A. Zomet
Part of the Monographs in Computer Science book series (MCS)

Abstract

Creating pictures having larger field of view, by combining many smaller images, is common since the beginning of photography, as the camera’s field of view is smaller than the human field of view. In addition, some large objects can not be captured in a single picture as is the case in aerial photography. Using omnidirectional cameras [195] can sometimes provide a partial solution, but the images obtained with such cameras have substantial distortions, and capturing a wide field of view with the limited resolution of a video camera compromises image resolution. A common solution is photo-mosaicing: aligning and pasting pictures, or frames in a video sequence, to create a wider view. Digital photography enabled new implementations for mosaicing [184, 185, 212, 38, 122, 273], which were first applied to aerial and satellite images, and later used for scene and object representation.

Keywords

Optical Flow Camera Motion Image Motion Voronoi Tessellation Motion Parallax 
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 Science+Business Media New York 2001

Authors and Affiliations

  • S. Peleg
  • B. Rousso
  • A. Rav-Acha
  • A. Zomet

There are no affiliations available

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