On the Imaging of Fractal Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
Texture histograms as a function of irradiation and viewing direction
International Journal of Computer Vision
Reflectance and Texture of Real-World Surfaces Authors
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Histogram Model for 3D Textures
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Recognizing Surfaces Using Three-Dimensional Textons
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Correlation Model for 3D Texture
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
The Response of Texture Features to Illuminant Rotation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Bidirectional Texture Contrast Function
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Classifying Surface Texture while Simultaneously Estimating Illumination Direction
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Testing new variants of the Beckmann-Kirchhoff model against radiance data
Computer Vision and Image Understanding
The modified Beckmann-Kirchhoff scattering theory for rough surface analysis
Pattern Recognition
Journal of Mathematical Imaging and Vision
Testing new variants of the Beckmann-Kirchhoff model against radiance data
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Rough surface estimation using the Kirchhoff model
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Irradiation orientation from obliquely viewed texture
DSSCV'05 Proceedings of the First international conference on Deep Structure, Singularities, and Computer Vision
The scale of geometric texture
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Illumination-insensitive texture discrimination based on illumination compensation and enhancement
Information Sciences: an International Journal
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Changes in the angle of illumination incident upon a 3D surface texture can significantly change its appearance. These changes can affect the output of texture features to such an extent that they cause complete misclassification. We present new theory and experimental results that show that changes in illumination tilt angle cause texture clusters to describe Lissajous's ellipses in feature space. We focus on texture features that may be modelled as a linear filter followed by an energy estimation process e.g. Laws filters, Gabor filters, ring and wedge filters. This general texture filter model is combined with a linear approximation of Lambert's cosine law to predict that the outputs of these filters are sinusoidal functions of illuminant tilt. Experimentation with 30 real textures verifies this proposal. Furthermore we use these results to show that the clusters of distinct textures describe different elliptical paths in feature space as illuminant tilt varies. These results have significant implications for illuminant tilt invariant texture classification.