Occlusion‐invariant face recognition using simultaneous segmentation

Occlusion‐invariant face recognition using simultaneous segmentation

Abstract When using convolutional neural network (CNN) models to extract features of an occluded face, the occluded part will inevitably be embedded into the representation just as with other facial regions. Existing methods deal with occluded face recognition either by augmenting the training datas...

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Bibliographic Details
Main Authors: Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers, Richard Arendsen
Format: Article
Language:English
Published: Hindawi-IET 2021-11-01
Series:IET Biometrics
Subjects:
face recognition
feature extraction
image classification
image segmentation
convolutional neural nets
Online Access:https://doi.org/10.1049/bme2.12036

Internet

https://doi.org/10.1049/bme2.12036

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