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• W2099386049 abstract "The application of Curvature Scale Space representation in shape similarity retrieval under affine transformation is addressed in this paper. The maxima of Curvature Scale Space (CSS) image have already been used to represent 2-D shapes in different applications. The representation has shown robustness under the similarity transformations. Scaling, orientation changes, translation and even noise can be easily handled by the representation and its associated matching algorithm. In this paper, we also consider non-uniform scaling and examine the performance of the representation under affine transformations. It is observed that the performance of the method is promising even under severe deformations caused by the transformation. The method is evaluated objectively through a very large classified database and its performance is compared with the performance of two well-known methods, namely Fourier descriptors and moment invariants.KeywordsOriginal ShapeMoment InvariantShape RepresentationFourier DescriptorInput QueryThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
• W2099386049 created "2016-06-24" @default.
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• W2099386049 date "1999-01-01" @default.
• W2099386049 modified "2023-09-27" @default.
• W2099386049 title "Retrieval of Similar Shapes under Affine Transform" @default.
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• W2099386049 doi "https://doi.org/10.1007/3-540-48762-x_70" @default.
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