The tangent kernel approach to illumination-robust texture classification

Authors:
S. Verzakov;P. Paclík;R. P. W. Duin
Affiliations:
Information and Communication Theory Group Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands;Information and Communication Theory Group Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands;Information and Communication Theory Group Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands
Venue:
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Year:
2005

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Abstract

Co-occurrence matrices are proved to be useful tool for the purpose of texture recognition. However, they are sensitive to the change of the illumination conditions. There are standard preprocessing approaches to this problem. However, they are lacking certain qualities. We studied the tangent kernel SVM approach as an alternative way of building illumination-robust texture classifier. Testing on the standard texture data has shown promising results.