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Improved the minimum squared error algorithm for face recognition by integrating original face images and the mirror images

  • Published:2016-01 Issue:2 Volume:127 Page:883-889
  • ISSN:0030-4026
  • Container-title:Optik
  • language:en
  • Short-container-title:Optik

Author:

Wen Xiaojun,Wen Jie

Funder

Guangdong Provincial Natural Science Foundation

the Shenzhen Basic Research Project

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference43 articles.

1. Face recognition: a literature survey;Zhao;ACM Comput. Surv.,2003

2. Automatic recognition and analysis of human faces and facial expressions: a survey;Samal;Pattern Recognit.,1992

3. A survey of sparse representation: algorithms and applications;Zhang;IEEE Access,2015

4. Recent advances in visual and infrared face recognition—a review;Kong;Comput. Vis. Image Underst.,2005

5. Face recognition using eigenfaces;Turk,1991

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1. Symmetrical feature extraction via novel Mirror PCA;Neurocomputing;2021-09

2. Exploring of alternative representations of facial images for face recognition;International Journal of Machine Learning and Cybernetics;2020-04-03

3. Group Low-Rank Representation-Based Discriminant Linear Regression;IEEE Transactions on Circuits and Systems for Video Technology;2020-03

4. Distributed Face Recognition Based on Load Balancing and Dynamic Prediction;Applied Sciences;2019-02-24

5. A novel grouped sparse representation for face recognition;Multimedia Tools and Applications;2018-08-15
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