• DocumentCode
    3454627
  • Title

    Novel face recognition method using trend vector for a multimedia album

  • Author

    Lee, Sung-Ho ; Han, Jong-Woo ; Kwon, Oh-Jung ; Kim, Tae-Hyun ; Ko, Sung-Jea

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    13-16 Jan. 2012
  • Firstpage
    490
  • Lastpage
    491
  • Abstract
    Automatic recognition of faces in photos is a highly challenging task since face appearance varies with poses, expressions, and lighting conditions. In this paper, we introduce a novel face recognition method using the trend vector which consists of the distances between the probed feature vector with all reference feature vectors in the gallery. Experimental results show that the proposed method achieves higher recognition rate than the conventional methods under the aforementioned challenging conditions.
  • Keywords
    face recognition; feature extraction; multimedia systems; vectors; expression condition; face appearance; face recognition method; feature vector; lighting condition; multimedia album; pose condition; trend vector; Conferences; Databases; Discrete cosine transforms; Face; Face detection; Face recognition; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2012 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4577-0230-3
  • Type

    conf

  • DOI
    10.1109/ICCE.2012.6161988
  • Filename
    6161988