Registration Method of Sparse Representation Classification Method

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著者

    • WANG Jing
    • the Department of Electronic Engineering, Tsinghua University
    • SU Guangda
    • the Department of Electronic Engineering, Tsinghua University

抄録

Sparse representation based classification (SRC) has emerged as a new paradigm for solving face recognition problems. Further research found that the main limitation of SRC is the assumption of pixel-accurate alignment between the test image and the training set. A. Wagner used a series of linear programs that iteratively minimize the sparsity of the registration error. In this paper, we propose another face registration method called three-point positioning method. Experiments show that our proposed method achieves better performance.

収録刊行物

  • IEICE transactions on information and systems

    IEICE transactions on information and systems 95(5), 1332-1335, 2012-05-01

    一般社団法人 電子情報通信学会

参考文献:  13件中 1-13件 を表示

各種コード

  • NII論文ID(NAID)
    10030942770
  • NII書誌ID(NCID)
    AA10826272
  • 本文言語コード
    ENG
  • 資料種別
    SHO
  • ISSN
    09168532
  • データ提供元
    CJP書誌  J-STAGE 
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