Title :
Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination
Author :
Sifre, L. ; Mallat, S.
Author_Institution :
CMAP, Ecole Polytech., Palaiseau, France
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;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location :
Portland, OR
DOI :
10.1109/CVPR.2013.163