• DocumentCode
    2222658
  • Title

    Physical panoramic pyramid and noise sensitivity in pyramids

  • Author

    Yin, Weihong ; Boult, Terrance E.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    90
  • Abstract
    Multi-resolution techniques have been used in a wide range of vision applications. Unfortunately, the costly operation of building a proper pyramid strongly reduces its value as a tool for reducing computational cost. A new approach, physical panoramic pyramid, is introduced in this paper. Physical panoramic pyramid measures multiple resolutions simultaneously resulting in multi-resolution panoramic images. No computation is needed to construct these image pyramids. We also analyze general noise sensitivity in image pyramids, including the interaction of the loss of resolution, random background noise and aliasing noise. The paper also discusses the issue of indexing between the neighboring layer the viewpoint variation and the applications of the physical panoramic pyramid
  • Keywords
    image processing; image pyramids; multi-resolution panoramic images; noise sensitivity; panoramic pyramid; pyramids; Application software; Background noise; Buildings; CMOS image sensors; Cameras; Computational efficiency; Convolution; HDTV; Image edge detection; Multiresolution analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
  • Conference_Location
    Hilton Head Island, SC
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0662-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2000.855804
  • Filename
    855804