Face recognition from single sample per person by learning of generic discriminant vectors

Face recognition from single sample per person by learning of generic discriminant vectors

The conventional ways of recognizing faces always assume the possession and heavily relies on extensive and representative datasets, but that is not the case in most real-world situations where more often than not, a very limited or even only single sample per person (SSPP) is available which ultima...

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Bibliographic Details
Main Authors: Hafiz, Fadhlan, Shafie, Amir Akramin, Mohd Mustafah, Yasir
Format: Article
Language:English
Published: Elsevier 2012
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/27220/
http://irep.iium.edu.my/27220/1/1-s2.0-S1877705812025994-main.pdf

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