Intraspectrum Discrimination and Interspectrum Correlation Analysis Deep Network for Multispectral Face Recognition

Multispectral images contain rich recognition information since the multispectral camera can reveal information that is not visible to the human eye or to the conventional RGB camera. Due to this characteristic of multispectral images, multispectral face recognition has attracted lots of research in...

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Veröffentlicht in:	IEEE transactions on cybernetics 2020-03, Vol.50 (3), p.1009-1022
Hauptverfasser:	Wu, Fei, Jing, Xiao-Yuan, Dong, Xiwei, Hu, Ruimin, Yue, Dong, Wang, Lina, Ji, Yi-Mu, Wang, Ruchuan, Chen, Guoliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cameras Correlation Correlation analysis Deep convolutional neural networks (DCNNs) Discrimination Face Face recognition Facial recognition technology Feature extraction Focusing Image recognition intraspectrum discriminant information exploration multispectral face recognition Object recognition Spectra spectra selection useful interspectrum correlation information exploration
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