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- W4206541398 abstract "This work presents local difference binary pattern (LDBP) and local neighborhood difference binary pattern (LNDBP) descriptors for face analysis. In LDBP, the difference is computed between A and B. A computes the difference between current neighbor pixel and adjacent neighbor pixel in clockwise direction, and B computes the difference between current neighbor pixel and center pixel. Same concept is performed for all the neighborhood positions. In LNDBP, the difference is determined between neighbor pixels at a distance of +2 in clockwise direction. Those possesses (differences) the value > or = to 0 are allocated a label 1 else 0. All patterns encoding gives the emergence of respective transformed image. From respective image, the subregional (3 × 3) information is extracted. The fused features from the corresponding subregions are the feature dimension of the respective descriptor. Further the LDBP and LNDBP dimensions are integrated to make the discriminative feature LDBP + LNDBP. PCA is applied next for compaction, and classification matching is done by SVMs and NN." @default.
- W4206541398 created "2022-01-26" @default.
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- W4206541398 date "2022-01-01" @default.
- W4206541398 modified "2023-09-25" @default.
- W4206541398 title "A Robust Fused Descriptor Under Unconstrained Conditions" @default.
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- W4206541398 doi "https://doi.org/10.1007/978-981-16-4538-9_35" @default.
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