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IBPRIA
2009
Springer
14 years 7 months ago
A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition
Abstract. This paper presents four spatio-temporal wavelet decompositions for characterizing dynamic textures. The main goal of this work is to compare the influence of spatial and...
Sloven Dubois, Renaud Péteri, Michel M&eacu...
77
Voted
IBPRIA
2003
Springer
15 years 2 months ago
Set-Permutation-Occurrence Matrix Based Texture Segmentation
Abstract. We have investigated a combination of statistical modelling and expectation maximisation for a texture based approach to the segmentation of mammographic images. Texture ...
Reyer Zwiggelaar, Lilian Blot, David Raba, Erika R...
ECCV
2010
Springer
15 years 3 months ago
Maximum Margin Distance Learning for Dynamic Texture Recognition
The range space of dynamic textures spans spatiotemporal phenomena that vary along three fundamental dimensions: spatial texture, spatial texture layout, and dynamics. By describin...
ICBA
2004
Springer
207views Biometrics» more  ICBA 2004»
15 years 3 months ago
Dynamic Local Feature Analysis for Face Recognition
This paper introduces an innovative method, Dynamic Local Feature Analysis (DLFA), for human face recognition. In our proposed method, the face shape and the facial texture informa...
Johnny Ng, Humphrey Cheung
55
Voted
IBPRIA
2007
Springer
15 years 3 months ago
Perceptually-Based Functions for Coarseness Textural Feature Representation
Jesús Chamorro-Martínez, Elena Gal&a...