• DocumentCode
    256158
  • Title

    A survey of Haar-Like feature representation

  • Author

    Oualla, Mohamed ; Sadiq, Abdelalim ; Mbarki, Samir

  • Author_Institution
    Dept. of Inf., Ibn Tofail Univ., Kenitra, Morocco
  • fYear
    2014
  • fDate
    14-16 April 2014
  • Firstpage
    1101
  • Lastpage
    1106
  • Abstract
    Object detection has been one of the most studied topics in the computer vision literature. To detect an object in an image, the detector must have knowledge of the characteristics of the object. Various approaches have been utilized such as Haar-Like features, color information, texture, edge orientation, etc. While numerous methods have been proposed to extract information using Haar-like feature, we are unaware of any surveys on this particular topic. For this reason we wrote this paper for surveying the different researches on Haar-Like features.
  • Keywords
    Haar transforms; computer vision; feature extraction; image colour analysis; image representation; image texture; object detection; Haar-like feature representation; color information; computer vision; edge orientation; image texture; information extraction; object detection; Computer aided software engineering; Equations; Feature extraction; Image resolution; Asymetric Haar Features; Haar-Like Feature; Object detection; Rotated Features; Viola and Jones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2014 International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4799-3823-0
  • Type

    conf

  • DOI
    10.1109/ICMCS.2014.6911186
  • Filename
    6911186