• DocumentCode
    2756993
  • Title

    3D face recognition method by best fitting polynomials

  • Author

    Musayev, V.Y.

  • Author_Institution
    Inst. of Inf. Technol., Baku, Azerbaijan
  • fYear
    2011
  • fDate
    12-14 Oct. 2011
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    A 3D face recognition method is proposed. For feature extraction, 3D point set is divided into number of slices to be projected on the central planes parallel to the slices. Feature vectors are formed by approximating best fitting polynomials for data on the planes. A multimodal approach in the score level and corresponding distance metrics for both unimodal and multimodal cases are presented.
  • Keywords
    face recognition; feature extraction; polynomial approximation; 3D face recognition method; 3D point set; best fitting polynomial approximation; distance metrics; feature extraction; feature vector; multimodal approach; Biological system modeling; Computational modeling; Face recognition; Image recognition; Polynomials; Shape; Three dimensional displays; 3D face recognition; best fitting curves; feature extraction; fusion; multimodal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
  • Conference_Location
    Baku
  • Print_ISBN
    978-1-61284-831-0
  • Type

    conf

  • DOI
    10.1109/ICAICT.2011.6111029
  • Filename
    6111029
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2756993