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» Mixtures of Dynamic Textures
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ICPR
2008
IEEE
14 years 10 months ago
Describing texture directions with Von Mises distributions
In this work we describe a new approach for texture characterization. Starting from the autocorrelation matrix an elegant description through a mixture of Von Mises distributions ...
Costantino Grana, Daniele Borghesani, Rita Cucchia...
ICPR
2008
IEEE
14 years 4 months ago
Unsupervised mammograms segmentation
We present a multiscale unsupervised segmenter for automatic detection of potentially cancerous regions of interest containing fibroglandular tissue in digital screening mammogra...
Michal Haindl, Stanislav Mikes
PAMI
2008
140views more  PAMI 2008»
13 years 9 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
ICCV
1999
IEEE
14 years 11 months ago
Independent Component Analysis of Textures
The technique of independent component analysis (ICA) is applied for texture feature detection. In ICA an optimal transformation (with respect to the statistical structure of the i...
Roberto Manduchi, Javier Portilla
MVA
2007
186views Computer Vision» more  MVA 2007»
13 years 11 months ago
Improving Rotation Invariance of the Volume Local Binary Pattern Operator
Dynamic texture is an extension of texture to the temporal domain. Recently, a powerful method for dynamic texture recognition based on volume local binary patterns (VLBP) was pro...
Guoying Zhao, Matti Pietikäinen