Single-Sample Face Recognition Based on Feature Expansion

Single-Sample Face Recognition Based on Feature Expansion

Face recognition (FR) with a single sample per person (SSPP) is one of the most challenging problems in computer vision. In this scenario, it is difficult to predict facial variation such as pose, illumination, and disguise due to the lack of enough training samples. Therefore, the development of th...

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Bibliographic Details
Main Authors: Rui Min, Shengping Xu, Zongyong Cui
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Face recognition
single sample
transfer learning
sample expansion
feature space
Online Access:https://ieeexplore.ieee.org/document/8681088/

Internet

https://ieeexplore.ieee.org/document/8681088/

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