• DocumentCode
    639414
  • Title

    Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination

  • Author

    Sifre, L. ; Mallat, S.

  • Author_Institution
    CMAP, Ecole Polytech., Palaiseau, France
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1233
  • Lastpage
    1240
  • Abstract
    An affine invariant representation is constructed with a cascade of invariants, which preserves information for classification. A joint translation and rotation invariant representation of image patches is calculated with a scattering transform. It is implemented with a deep convolution network, which computes successive wavelet transforms and modulus non-linearities. Invariants to scaling, shearing and small deformations are calculated with linear operators in the scattering domain. State-of-the-art classification results are obtained over texture databases with uncontrolled viewing conditions.
  • Keywords
    convolution; deformation; image classification; image representation; image texture; visual databases; wavelet transforms; affine invariant representation; deep convolution network; deformations; image patches; information preservation; joint translation-rotation invariant representation; linear operators; modulus nonlinearities; scaling; scattering domain; scattering transform; shearing; state-of-the-art classification; successive wavelet transforms; texture databases; texture discrimination; uncontrolled viewing conditions; Computer architecture; Convolution; Joints; Scattering; Shearing; Wavelet transforms; affine; classification; deep; invariant; network; neural; rotation; roto-translation; scaling; scattering; shearing; texture; translation; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.163
  • Filename
    6619007