• DocumentCode
    390744
  • Title

    Retrieving faces by the PIFS fractal code

  • Author

    Chandran, Sharat ; Kar, S.

  • Author_Institution
    Comput. Sci. & Engg. Dept., IIT, Mumbai, India
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    8
  • Lastpage
    12
  • Abstract
    The use of fractals in computer graphics and vision in modeling unstructured images, and compressing images, is well known. However the use of fractals for indexing images in content based retrieval of video and static images has not received as much attention. In this paper, we provide the theoretical arguments to justify their use in image retrieval. Our web-enabled implementation on the FERET database shows encouraging results.
  • Keywords
    content-based retrieval; face recognition; fractals; image retrieval; FERET database; compressing images; computer graphics; content based retrieval; fractals; image retrieval; retrieving faces; static images; unstructured images; video images; Computer science; Fractals; Hair; Image coding; Image databases; Image generation; Image recognition; Image retrieval; Image segmentation; Indexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Computer Vision, 2002. (WACV 2002). Proceedings. Sixth IEEE Workshop on
  • Print_ISBN
    0-7695-1858-3
  • Type

    conf

  • DOI
    10.1109/ACV.2002.1182136
  • Filename
    1182136
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=390744