Mosaicing on Adaptive Manifolds

  • Authors:

  • Shmuel Peleg;Benny Rousso;Alex Rav-Acha;Assaf Zomet

  • Affiliations:

  • Hebrew Univ. of Jerusalem, Jerusalem, Israel;Impulse Dynamic, Israel;Hebrew Univ. of Jerusalem, Jerusalem, Israel;Hebrew Univ. of Jerusalem, Jerusalem, Israel

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2000

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Abstract

Image mosaicing is commonly used to increase the visual field of view by pasting together many images or video frames. Existing mosaicing methods are based on projecting all images onto a predetermined single manifold: A plane is commonly used for a camera translating sideways, a cylinder is used for a panning camera, and a sphere is used for a camera which is both panning and tilting. While different mosaicing methods should therefore be used for different types of camera motion, more general types of camera motion, such as forward motion, are practically impossible for traditional mosaicing. A new methodology to allow image mosaicing in more general cases of camera motion is presented. Mosaicing is performed by projecting thin strips from the images onto manifolds which are adapted to the camera motion. While the limitations of existing mosaicing techniques are a result of using predetermined manifolds, the use of more general manifolds overcomes these limitations.