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- W1977805283 abstract "In this paper we address the challenging problem of logo recognition. As logos appear in various scales, colors and with illuminations coming from source lights of various intensities, positions or colors, their recognition is a tedious task. The typical approach stands within Bag-of-Words (BoW) framework with SIFT (Scale Invariant Feature Transform) based features. To increase the accuracy, we rely on the recently introduced feature of the complete rank transform, which we extend for a multi-scale description. The system's performance is verified on the FlickrLogos-32 database." @default.
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- W1977805283 date "2014-05-01" @default.
- W1977805283 modified "2023-09-25" @default.
- W1977805283 title "Local description using multi-scale complete rank transform for improved logo recognition" @default.
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- W1977805283 doi "https://doi.org/10.1109/iccomm.2014.6866723" @default.
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