Weighted Modular Image Principal Component Analysis for face recognition

作者：

Highlights：

• We propose two feature extraction methods for face recognition: MIMPCA and wMIMPCA.

• The proposed methods use modular PCA to minimize local variation.

• The proposed methods deal with changes in illumination and head pose.

• The proposed methods obtained better results compared with other methods.

摘要

•We propose two feature extraction methods for face recognition: MIMPCA and wMIMPCA.•The proposed methods use modular PCA to minimize local variation.•The proposed methods deal with changes in illumination and head pose.•The proposed methods obtained better results compared with other methods.

论文关键词：Face recognition,Image feature extraction,Principal Component Analysis,Modular PCA

论文评审过程：Available online 13 March 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.03.003