Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination

Laurent Sifre, Stephane Mallat; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, pp. 1233-1240

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.

Related Material

[pdf]
[bibtex]
@InProceedings{Sifre_2013_CVPR,
author = {Sifre, Laurent and Mallat, Stephane},
title = {Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2013}
}