• DocumentCode
    2205331
  • Title

    Faceparts for Recognition

  • Author

    Kouzani, A.Z.

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Deakin Univ., Geelong, Vic.
  • fYear
    2006
  • fDate
    14-17 Nov. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A facial classification system that utilises images of faceparts is presented in this paper. Each facepart region is allocated a degree of importance. The random forests approach is employed for classification. The approach grows many classification trees where each tree gives a classification decision. The forest selects the classification that gives the most votes. Experimental results are presented and discussed
  • Keywords
    face recognition; image classification; facepart image recognition; facial classification system; Bagging; Boosting; Classification tree analysis; Face recognition; Humans; Image recognition; Learning systems; Predictive models; Visual system; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2006. 2006 IEEE Region 10 Conference
  • Conference_Location
    Hong Kong
  • Print_ISBN
    1-4244-0548-3
  • Electronic_ISBN
    1-4244-0549-1
  • Type

    conf

  • DOI
    10.1109/TENCON.2006.343761
  • Filename
    4142436
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2205331