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• W2794376246 abstract "Dynamic texture (DT) is a challenging problem in computer vision because of the chaotic motion of textures. We address in this paper a new dynamic texture operator by considering local structure patterns (LSP) and completed local binary patterns (CLBP) for static images in three orthogonal planes to capture spatial-temporal texture structures. Since the typical operator of local binary patterns (LBP), which uses center pixel for thresholding, has some limitations such as sensitivity to noise and near uniform regions, the proposed approach can deal with these drawbacks by using global and local texture information for adaptive thresholding and CLBP for exploiting complementary texture information in three orthogonal planes. Evaluations on different datasets of dynamic textures (UCLA, DynTex, DynTex++) show that our proposal significantly outperforms recent results in the state-of-the-art approaches." @default.
• W2794376246 created "2018-03-29" @default.
• W2794376246 creator A5037713939 @default.
• W2794376246 creator A5061582911 @default.
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• W2794376246 date "2017-11-01" @default.
• W2794376246 modified "2023-09-29" @default.
• W2794376246 title "Completed local structure patterns on three orthogonal planes for dynamic texture recognition" @default.
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• W2794376246 doi "https://doi.org/10.1109/ipta.2017.8310130" @default.
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