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Conceptual Spaces: The Geometry of Thought
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Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
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Modelling the Acquisition of Colour Words
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Local Image Operators and Iconic Structure
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A Statistical Approach to Texture Classification from Single Images
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International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Natural Image Statistics for Natural Image Segmentation
International Journal of Computer Vision
Inferior Temporal Neurons Show Greater Sensitivity to Nonaccidental than to Metric Shape Differences
Journal of Cognitive Neuroscience
Scale-space image analysis based on Hermite polynomials theory
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Least squares and robust estimation of local image structure
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Mode estimation using pessimistic scale space tracking
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Image features and the 1-D, 2nd
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Local orientation analysis in images by means of the Hermite transform
IEEE Transactions on Image Processing
The Second Order Local-Image-Structure Solid
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Mathematical Imaging and Vision
Image and Vision Computing
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Maximum likelihood metameres for local 2nd order image structure of natural images
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Texture Description Through Histograms of Equivalent Patterns
Journal of Mathematical Imaging and Vision
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We review ideas about the relationship between qualitative description of local image structure and quantitative description based on responses to a family of linear filters. We propose a sequence of three linking hypotheses. The first, the Feature Hypothesis, is that qualitative descriptions arise from a category system on filter-response space. The second, the Icon Hypothesis, is that the partitioning into categories of filter response space is determined by a system of iconic images, one associated with each point of the space. The third, the Texton Hypothesis, is that the correct images to play the role of icons are those that are the most likely explanations of a vector of filter responses. We present results in support of these three hypotheses, including new results on 2-D 1st order structure.