Dynamic Texture Recognition
2 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern
To tackle this problem, we propose a method for dynamic texture recognition using PDV hashing and dictionary learning on multi-scale volume local binary pattern (PHD-MVLBP).
Invariant 3D Shape Recognition using Predictive Modular Neural Networks
It is presented in the context of 3D invariant shape recognition and texture recognition.
Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields
We propose a new family of video descriptors based on regional statistics of spatio-temporal receptive field responses and evaluate this approach on the problem of dynamic texture recognition.
Manifold Regularized Slow Feature Analysis for Dynamic Texture Recognition
However, complex temporal variations require high-level semantic representations to fully achieve temporal slowness, and thus it is impractical to learn a high-level representation from dynamic textures directly by SFA.
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning
In addition, based on the proposed dictionary learning method, a DT descriptor is developed, which has better adaptivity, discriminability and scalability than the existing approaches.
Water Detection through Spatio-Temporal Invariant Descriptors
Experimental evaluation on the Video Water Database and the DynTex database indicates the effectiveness of the proposed algorithm, outperforming multiple algorithms for dynamic texture recognition and material recognition by ca.
Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds
This problem has several applications in the areas of human activity analysis, where there is a need to perform fast search, and recognition in very high dimensional spaces.
