• DocumentCode
    419590
  • Title

    Propagating segmented regions during a camera saccade

  • Author

    Green, Isaac A. ; Nelson, Randal C.

  • Author_Institution
    Dept. of Comput. Sci., Charleston Coll., SC, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    640
  • Abstract
    In this paper, we present a method for propagating segmentation information across a saccade for a foveating camera. In particular, we take a region of interest from a wide-angle, low-fidelity image and propagate its segmentation information to a zoomed, high-fidelity image containing that region. Our method uses normalized greyscale templates to estimate the change in translation and magnification required to transform the segmented region. This process is particularly useful for systems whose segmentation methods rely on prior images, such as motion or difference segmentation, because the segmentation methods cannot be simply be rerun to obtain a segmentation in the high-fidelity images.
  • Keywords
    cameras; image recognition; image segmentation; camera saccade; greyscale templates; high fidelity image; image segmentation; magnification estimation; motion segmentation; segmentation propagation; translation estimation; Biosensors; Cameras; Computer science; Educational institutions; Humans; Image resolution; Image segmentation; Machine vision; Retina; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334242
  • Filename
    1334242