Data augmentation with occluded facial features for age and gender estimation

Data augmentation with occluded facial features for age and gender estimation

Abstract Here, the feature occlusion, a data augmentation method that simulates real‐life challenges on the main features of the human face for age and gender recognition is proposed. Previous methods achieved promising results on constrained data sets with strict environmental settings, but the res...

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Bibliographic Details
Main Authors: Lu En Lin, Chang Hong Lin
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:IET Biometrics
Subjects:
entropy
face recognition
feature extraction
image classification
neural nets
Online Access:https://doi.org/10.1049/bme2.12030
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https://doi.org/10.1049/bme2.12030

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