Hyperspectral Face Recognition with Adaptive and Parallel SVMs in Partially Hidden Face Scenarios

Hyperspectral Face Recognition with Adaptive and Parallel SVMs in Partially Hidden Face Scenarios

Hyperspectral imaging opens up new opportunities for masked face recognition via discrimination of the spectral information obtained by hyperspectral sensors. In this work, we present a novel algorithm to extract facial spectral-features from different regions of interests by performing computer vis...

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Bibliographic Details
Main Authors: Julián Caba, Jesús Barba, Fernando Rincón, José Antonio de la Torre, Soledad Escolar, Juan Carlos López
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
facial recognition
hyperspectral compression
hyperspectral imaging
biometrics
SVM
computer vision
Online Access:https://www.mdpi.com/1424-8220/22/19/7641

Internet

https://www.mdpi.com/1424-8220/22/19/7641

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