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- W94702943 abstract "This paper focuses on directional textures and proposes a new statistical approach for the second order description of an orientation vector field. We tackle two of the main high level properties that drive the perceptual grouping of texture: directionality and periodicity. Our method is based on the measure of similarity between two orientation vectors separated by a given displacement. We propose two implementations of the similarity measure. The first one is a 2-D Orientation Similarity Map which can be described in terms of blobs and lines that reflect texture periodicity and symmetry. The second implementation consists in a Curvilinear Orientation Similarity Function which provides a measure of the average resemblance between orientation vectors along a parametrized curve and brings out periodicity. We also provide experiments on both synthetic and natural images which show the relevance of our approach for the high level description of textures." @default.
- W94702943 created "2016-06-24" @default.
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- W94702943 date "2001-01-01" @default.
- W94702943 modified "2023-09-28" @default.
- W94702943 title "Orientation based second-order statistics for texture description" @default.
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