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- W2393049617 abstract "To match product logos with various viewpoint changes in realistic images,a rotation-invariant SIFT matching algorithm is presented.Firstly,logo images in the database are rotated to several simulate angles in both horizontal and vertical directions.And multiple sets of SIFT features are extracted from those rotated samples.Then,the SIFT features are used to match features of query logo image and database to recognize the type of query logo.Approach of simulation of several rotation changes to achieve full rotation-in-variance is proposed.Experiments on a dataset of 1000 product images indicate that the proposed method achieves higher precision than traditional SIFT method,which demonstrates that proposed method is applicable for logo detection applications." @default.
- W2393049617 created "2016-06-24" @default.
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- W2393049617 date "2011-01-01" @default.
- W2393049617 modified "2023-09-23" @default.
- W2393049617 title "Application of affine invariant SIFT matching for automatic logo recognition" @default.
- W2393049617 hasPublicationYear "2011" @default.
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