The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Kernels for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining spatial and colour information for content based image retrieval
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Journal of Cognitive Neuroscience
Semantic image classification using statistical local spatial relations model
Multimedia Tools and Applications
Making Archetypal Analysis Practical
Proceedings of the 31st DAGM Symposium on Pattern Recognition
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This paper investigates the principal components (PCs) of natural gray and color images. A horizontal and vertical typology of PCs is found which leads to the identification of groups of basis functions for steerable bandpass filters. Using this system, the contribution of spatio-chromatic structure to the total variance can be quantified for selected spatial frequencies.