• DocumentCode
    176463
  • Title

    Intersection distance for object recognition

  • Author

    Yan Zhou ; Jianning Liang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
  • fYear
    2014
  • fDate
    29-30 Sept. 2014
  • Firstpage
    255
  • Lastpage
    259
  • Abstract
    Object recognition is a very important task in the field of computer vision. We present a new method for object recognition. The image content is described by the image gradient. Then, the intersection distance is proposed to measure the similarities of the images of different objects. Our method demonstrates good performances on three face data sets.
  • Keywords
    computer vision; image matching; object recognition; computer vision; face data sets; image content; image gradient; intersection distance; object image similarity measurement; object recognition; Accuracy; Computer vision; Conferences; Indexes; Object recognition; Testing; Training; Image gradient; Intersection distance; Object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/WARTIA.2014.6976245
  • Filename
    6976245
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=176463