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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...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Rui Min, Shengping Xu, Zongyong Cui
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2019-01-01
Rangatū:IEEE Access
Ngā marau:
Urunga tuihono:https://ieeexplore.ieee.org/document/8681088/
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