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
Link To Document