Face recognition with non-negative matrix factorization

被引：4
作者：
Rajapakse, M [1 ]
Wyse, L [1 ]
机构：
[1] Inst Infocomm Res, Singapore 119613, Singapore
来源：
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2003, PTS 1-3 | 2003年 / 5150卷
关键词：
NMF; gabor; PCA; face recognition;
D O I：
10.1117/12.502365
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A face can conceptually be represented as a collection of sparsely distributed parts: eyes, nose, mouth, etc. We use Non-negative Matrix Factorization (NMF) to yield sparse representation of localized features to represent distributed parts over a human face. This paper explores the potential of NMF for face recognition and the possibilities for gender-based features in face reconstruction. Further, we compare the results of NMF with other common face recognition methods.
引用
收藏
页码：1838 / 1847
页数：10
相关论文
共 50 条
  • [31] Novel Algorithm for Non-Negative Matrix Factorization
    Tran Dang Hien
    Do Van Tuan
    Pham Van At
    Le Hung Son
    NEW MATHEMATICS AND NATURAL COMPUTATION, 2015, 11 (02) : 121 - 133
  • [32] Robust discriminative non-negative matrix factorization
    Zhang, Ruiqing
    Hu, Zhenfang
    Pan, Gang
    Wang, Yueming
    NEUROCOMPUTING, 2016, 173 : 552 - 561
  • [33] Truncated Cauchy Non-Negative Matrix Factorization
    Guan, Naiyang
    Liu, Tongliang
    Zhang, Yangmuzi
    Tao, Dacheng
    Davis, Larry S.
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 41 (01) : 246 - 259
  • [34] A Discriminant Manifold Non-negative Matrix Factorization Algorithm for Facial Expression Recognition
    Wu Jiying
    Xu Shenglin
    Yu Yi
    Liang Bo
    PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016), 2016, : 1010 - 1015
  • [35] Nonlinear Non-negative Matrix Factorization using Deep Learning
    Zhang, Hui
    Liu, Huaping
    Song, Rui
    Sun, Fuchun
    2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, : 477 - 482
  • [36] Rank-Adaptive Non-Negative Matrix Factorization
    Shan, Dong
    Xu, Xinzheng
    Liang, Tianming
    Ding, Shifei
    COGNITIVE COMPUTATION, 2018, 10 (03) : 506 - 515
  • [37] Method for convergent projective non-negative matrix factorization
    Hu, Lirui
    Wu, Jianguo
    Wang, Lei
    Journal of Information and Computational Science, 2013, 10 (06): : 1847 - 1854
  • [38] On the Identifiability of Transform Learning for Non-Negative Matrix Factorization
    Zhang, Sixin
    Soubies, Emmanuel
    Fevotte, Cedric
    IEEE SIGNAL PROCESSING LETTERS, 2020, 27 : 1555 - 1559
  • [39] Semantic Non-Negative Matrix Factorization for Term Extraction
    Nugumanova, Aliya
    Alzhanov, Almas
    Mansurova, Aiganym
    Rakhymbek, Kamilla
    Baiburin, Yerzhan
    BIG DATA AND COGNITIVE COMPUTING, 2024, 8 (07)
  • [40] Co-sparse Non-negative Matrix Factorization
    Wu, Fan
    Cai, Jiahui
    Wen, Canhong
    Tan, Haizhu
    FRONTIERS IN NEUROSCIENCE, 2022, 15
12345