Add to ORKGAn affine invariant representation is constructed with a cascade of invariants, which preserves information for clas-sification. A joint translation and rotation invariant repre-sentation of image patches is calculated with a scattering transform. It is implemented with a deep convolution net-work, 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 re-sults are obtained over texture databases with uncontrolled viewing conditions. 1
This paper models a texture as a 2D mapping onto a nonlinear manifold representing the local structu...
A goal of image segmentation is to divide an image into regions corresponding to objects.Segmentatio...
Natural images contain considerable redundancy, some of which is successfully captured using recentl...
Abstract A rigid-motion scattering computes adaptive invariants along translations and rotations, wi...
Abstract—A wavelet scattering network computes a translation invariant image representation which is...
This thesis addresses the problem of pattern and texture recognition from a mathematical perspective...
this paper, the issue of rotation-invariance for texture is studied. The CWT is well adapted to perf...
In this paper, we present a new rotation-invariant tex-ture descriptor algorithm called Invariant Fe...
This paper presents a new texture analysis method based on structural properties. The texture featur...
Déposée Novembre 2012.This thesis addresses the problem of pattern and texture recognition from a ma...
Textures within real images vary in brightness, contrast, scale and skew as imaging conditions chang...
Learning how to extract texture features from noncontrolled environments characterized by distorted ...
We develop a new approach for texture classification independent of affine transforms. Based on a sp...
Texture classification is an important research topic in image processing. In 2012, scattering trans...
A novel invariant texture classification method is proposed. Invariance to linear/non-linear monoton...
This paper models a texture as a 2D mapping onto a nonlinear manifold representing the local structu...
A goal of image segmentation is to divide an image into regions corresponding to objects.Segmentatio...
Natural images contain considerable redundancy, some of which is successfully captured using recentl...
Abstract A rigid-motion scattering computes adaptive invariants along translations and rotations, wi...
Abstract—A wavelet scattering network computes a translation invariant image representation which is...
This thesis addresses the problem of pattern and texture recognition from a mathematical perspective...
this paper, the issue of rotation-invariance for texture is studied. The CWT is well adapted to perf...
In this paper, we present a new rotation-invariant tex-ture descriptor algorithm called Invariant Fe...
This paper presents a new texture analysis method based on structural properties. The texture featur...
Déposée Novembre 2012.This thesis addresses the problem of pattern and texture recognition from a ma...
Textures within real images vary in brightness, contrast, scale and skew as imaging conditions chang...
Learning how to extract texture features from noncontrolled environments characterized by distorted ...
We develop a new approach for texture classification independent of affine transforms. Based on a sp...
Texture classification is an important research topic in image processing. In 2012, scattering trans...
A novel invariant texture classification method is proposed. Invariance to linear/non-linear monoton...
This paper models a texture as a 2D mapping onto a nonlinear manifold representing the local structu...
A goal of image segmentation is to divide an image into regions corresponding to objects.Segmentatio...
Natural images contain considerable redundancy, some of which is successfully captured using recentl...