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Wasserstein dictionary learning: Optimal transport-based unsupervised nonlinear dictionary learning
This paper introduces a new nonlinear dictionary learning method for histograms in the
probability simplex. The method leverages optimal transport theory, in the sense that our aim …
probability simplex. The method leverages optimal transport theory, in the sense that our aim …
Dynamic texture recognition using volume local binary count patterns with an application to 2D face spoofing detection
In this paper, a local spatiotemporal descriptor, namely, the volume local binary count
(VLBC), is proposed for the representation and recognition of dynamic texture. This …
(VLBC), is proposed for the representation and recognition of dynamic texture. This …
Deep convolutional network with locality and sparsity constraints for texture classification
Recent studies have demonstrated advantages of the representations learned by
Convolutional Neural Networks (CNNs) in providing an appealing paradigm for visual …
Convolutional Neural Networks (CNNs) in providing an appealing paradigm for visual …
Dynamic texture classification based on 3D ICA-learned filters and fisher vector encoding in big data environment
Many researchers focus on the local feature-based description of the dynamic texture,
because of its stability and low dimensionality. Among the existing dynamic texture …
because of its stability and low dimensionality. Among the existing dynamic texture …
A comprehensive taxonomy of dynamic texture representation
Representing dynamic textures (DTs) plays an important role in many real implementations
in the computer vision community. Due to the turbulent and non-directional motions of DTs …
in the computer vision community. Due to the turbulent and non-directional motions of DTs …
A new large scale dynamic texture dataset with application to convnet understanding
This paper introduces a new large scale dynamic texture dataset. The dataset is provided
with two complementary organizations, one based on dynamics independent of spatial …
with two complementary organizations, one based on dynamics independent of spatial …
Dynamic texture classification using unsupervised 3D filter learning and local binary encoding
Local binary descriptors, such as local binary pattern (LBP) and its various variants, have
been studied extensively in texture and dynamic texture analysis due to their outstanding …
been studied extensively in texture and dynamic texture analysis due to their outstanding …
SMTCNN-A global spatio-temporal texture convolutional neural network for 3D dynamic texture recognition
L Wang, L Zhou, P Liang, K Wang, L Ge - Image and Vision Computing, 2024 - Elsevier
Dynamic textures (DT) are typically 3D videos of physical processes showing statistical
regularity but have indeterminate spatial and temporal extent. Existing DT recognition …
regularity but have indeterminate spatial and temporal extent. Existing DT recognition …
Robust non-linear matrix factorization for dictionary learning, denoising, and clustering
Low dimensional nonlinear structure abounds in datasets across computer vision and
machine learning. Kernelized matrix factorization techniques have recently been proposed …
machine learning. Kernelized matrix factorization techniques have recently been proposed …
Momental directional patterns for dynamic texture recognition
Understanding the chaotic motions of dynamic textures (DTs) is a challenging problem of
video representation for different tasks in computer vision. This paper presents a new …
video representation for different tasks in computer vision. This paper presents a new …