• DocumentCode
    3135447
  • Title

    The Development Status and Prospects on the Face Recognition

  • Author

    Hu, Yongmei ; An, Heng ; Guo, Yubing ; Zhang, Chunxiao ; Zhang, Tianyi ; Ye, Li

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Human face feature recognition is an important direction of the pattern recognition, and is widely used in practical applications. Because of the uncertainty of the face recognition, the impact of posture, facial expressions and the environmental, there is a lot of difficulty in recognition, and people proposed more and more identification methods in this field. This paper will introduce the development methods and technologies of the face recognition, and point out the advantages and disadvantages of these methods, including eigenface, elastic grid method, wavelet transform methods, hidden Markov method (HMM), etc. Finally this paper will point out the prospect of development trends and the future research of this technology.
  • Keywords
    eigenvalues and eigenfunctions; feature extraction; grid computing; hidden Markov models; image recognition; medical image processing; wavelet transforms; eigenface; elastic grid method; facial expressions; feature extraction; hidden Markov method; human face feature recognition; pattern recognition; posture; wavelet transform methods; Detectors; Face detection; Face recognition; Facial features; Hidden Markov models; Humans; Lighting; Neural networks; Pattern recognition; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5517197
  • Filename
    5517197