• DocumentCode
    152665
  • Title

    Facial expression recognition from static images

  • Author

    Akkoca, B.S. ; Gokmen, Muhittin

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Istanbul Teknik Univ., İstanbul, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1291
  • Lastpage
    1294
  • Abstract
    In this study, a cascaded structure includes algorithms of Local Zernike Moments, Local XOR Patterns and Global Zernike Moments is used for Facial Expression Recognition. 10 patches are specified on the images in CK+ dataset and over those pathces 3 methods are applied respectively. By concataneting of the moment coefficients, the feature vector generated and classified with Support Vector Machines.
  • Keywords
    face recognition; image classification; polynomials; CK+ dataset; cascaded structure; facial expression recognition; feature vector; global Zernike moments; local XOR patterns; local Zernike moments; moment coefficients; patches methods; static images; support vector machines; Conferences; Face; Face recognition; Image processing; Signal processing; Support vector machines; Facial expression Recognition; Global Zernike Moments; Local XOR Patterns; Local Zernike Moments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830473
  • Filename
    6830473
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=152665