• DocumentCode
    2440084
  • Title

    Frontal face classifier using AdaBoost with MCT features

  • Author

    Yoon, Jongmin ; Kim, Daijin

  • Author_Institution
    Dept. of Comput. Sci. & Eng., POSTECH, Pohang, South Korea
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    2084
  • Lastpage
    2087
  • Abstract
    In this paper, we describe how to classify frontal face from the results of face detection which include non-frontal faces. To do this, we use AdaBoost learning method with Modified Census Transform (MCT) to construct a two-class classifier. As a result of that, our frontal face classifier achieves high classification rate above 96% and fast performance about 10 frames/sec in mobile device.
  • Keywords
    face recognition; image classification; learning (artificial intelligence); transforms; AdaBoost; frontal face classifier; modified census transform; Classification algorithms; Detectors; Face; Feature extraction; Lighting; Training; Transforms; MCT; adaboost; frontal face classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-7814-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2010.5707954
  • Filename
    5707954
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2440084