Best Basis Selection Method Using Learning Weights for Face Recognition

Best Basis Selection Method Using Learning Weights for Face Recognition

In the face recognition field, principal component analysis is essential to the reduction of the image dimension. In spite of frequent use of this analysis, it is commonly believed that the basis faces with large eigenvalues are chosen as the best subset in the nearest neighbor classifiers. We propo...

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Bibliographic Details
Main Authors: Wonju Lee, Minkyu Cheon, Chang-Ho Hyun, Mignon Park
Format: Article
Language:English
Published: MDPI AG 2013-09-01
Series:Sensors
Subjects:
feature selection
similarity metrics
learning weights
Online Access:http://www.mdpi.com/1424-8220/13/10/12830

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