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Communication Dans Un Congrès Année : 2017

Completed Local Structure Patterns on Three Orthogonal Planes for Dynamic Texture Recognition

Résumé

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 outper-forms recent results in the state-of-the-art approaches.
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Dates et versions

hal-01786823 , version 1 (06-05-2018)

Identifiants

  • HAL Id : hal-01786823 , version 1

Citer

Thanh Tuan Nguyen, Thanh Phuong Nguyen, Frédéric Bouchara. Completed Local Structure Patterns on Three Orthogonal Planes for Dynamic Texture Recognition. International Conference on Image Processing Theory, Tools and Applications (IPTA 2017), Nov 2017, Montréal, Canada. ⟨hal-01786823⟩
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