Hyperspectral Face Recognition with Patch-Based Low Rank Tensor Decomposition and PFFT Algorithm

Hyperspectral Face Recognition with Patch-Based Low Rank Tensor Decomposition and PFFT Algorithm

Hyperspectral imaging technology with sufficiently discriminative spectral and spatial information brings new opportunities for robust facial image recognition. However, hyperspectral imaging poses several challenges including a low signal-to-noise ratio (SNR), intra-person misalignment of wavelengt...

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Bibliographic Details
Main Authors: Mengmeng Wu, Dongmei Wei, Liren Zhang, Yuefeng Zhao
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Symmetry
Subjects:
hyperspectral images
global and local features
spectral and spatial information
tensor decomposition
band fusion
polar discrete fast Fourier transform
ensemble classifier
Online Access:https://www.mdpi.com/2073-8994/10/12/714

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