DOI:​10.1109/TIP.2015.2393057
Corpus ID: 10481916
Hyperspectral Face Recognition With Spatiospectral Information Fusion and PLS Regression
M. Uzair, A. Mahmood, A. Mian
Published 2015

Computer Science, Medicine
IEEE Transactions on Image Processing
Hyperspectral imaging offers new opportunities for face recognition via improved discrimination along the spectral dimension. However, it poses new challenges, including low signal-to-noise ratio… Expand
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112 Citations
Highly Influential Citations
11
Background Citations
41
Methods Citations
28
Results Citations
1
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Table I
Table II
Table IV
Table V
Facial recognition system
Selection algorithm
Database
Signal-to-noise ratio
Dimensionality reduction
Experiment
Least-Squares Analysis
Sparse matrix
Bands
Hoc (programming language)
Grayscale Color Map
Anisotropic band
Papillon-Lefevre Disease
funding grant
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2018
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2016
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A novel method for hyperspectral face recognition with good recognition rates is proposed, which first reduce noise adaptively from each spectral band and then crop each face according to eye coordinates, to extract Fourier spectra from them. Expand
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Face Recognition Using Hyperspectral Imaging And Deep Learning
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2018 Tenth International Conference on Advanced Computing (ICoAC)
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The proposed methodology for face recognition using hyper spectral imaging includes performing band selection and band fusion on the hyper spectral face cubes and then classifying them using 3 Dimensional Convolution Neural Networks (3D-CNN). Expand
Hyperspectral Face Recognition Using Block based Convolution Neural Network and AdaBoost Band Selection
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Results show that block-level based bands selection can capture the more discriminative spectral features than the method based on image level, and outperforms the existing state-of-the-art methods. Expand
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