• DocumentCode
    782562
  • Title

    Rotational Invariant Operators Based on Steerable Filter Banks

  • Author

    Shi, X. ; Castro, A. L Ribeiro ; Manduchi, R. ; Montgomery, R.

  • Author_Institution
    Apple Comput. Inc., Cupertino, CA
  • Volume
    13
  • Issue
    11
  • fYear
    2006
  • Firstpage
    684
  • Lastpage
    687
  • Abstract
    We introduce a technique for designing rotation invariant operators based on steerable filter banks. Steerable filters are widely used in computer vision as local descriptors for texture analysis. Rotation invariance has been shown to improve texture-based classification in certain contexts. Our approach to invariance is based on solving the partial differential equation associated with the formulation of invariance in a Lie group framework
  • Keywords
    Lie groups; channel bank filters; computer vision; image classification; image texture; partial differential equations; Lie group framework; computer vision; partial differential equation; rotational invariant operator; steerable filter bank; texture-based classification; Channel bank filters; Computer vision; Filter bank; Filtering; Image analysis; Image texture analysis; Kernel; Nonlinear filters; Partial differential equations; Prototypes; Channel bank filters; filtering; image orientation analysis; multidimensional signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2006.879467
  • Filename
    1707735
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=782562