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• W2793391590 abstract "This paper is devoted to the problem of blob detection in manifold-valued images. Our solution is based on new definitions of blob response functions. We define the blob response functions by means of curvatures of an image graph, considered as a submanifold. We call the proposed framework Riemannian blob detection. We prove that our approach can be viewed as a generalization of the grayscale blob detection technique. An expression of the Riemannian blob response functions through the image Hessian is derived. We provide experiments for the case of vector-valued images on 2D surfaces: the proposed framework is tested on the task of chemical compounds classification." @default.
• W2793391590 created "2018-03-29" @default.
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• W2793391590 date "2019-05-31" @default.
• W2793391590 modified "2023-09-27" @default.
• W2793391590 title "A Riemanian Approach to Blob Detection in Manifold-Valued Images" @default.
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• W2793391590 hasPublicationYear "2019" @default.
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