Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination

被引：254
|
作者：
Sifre, Laurent [1 ]
Mallat, Stephane [2 ]
机构：
[1] Ecole Polytech, CMAP, F-91128 Palaiseau, France
[2] Ecole Normale Super, DI, F-75005 Paris, France
来源：
2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2013年
关键词：
D O I：
10.1109/CVPR.2013.163
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1233 / 1240
页数：8
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