• DocumentCode
    1577304
  • Title

    Automatic 3D Facial Feature Extraction Algorithm

  • Author

    Kaushik, Vandna Dixit ; Singh, S. ; Tiwari, H. ; Goyal, S.K. ; Pathak, V.K. ; Gupta, P.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Harcourt Butler Technol. Inst., Kanpur
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a novel algorithm for automatic facial feature extraction from 3D facial data. The proposed algorithm is found to be pose and expression invariant. It is successfully tested on 3D face database from the State University of New York, Binghamton, USA. In order to test the algorithm, the images have been regenerated using these extracted features. Bezier surface algorithm has been used for regeneration.
  • Keywords
    face recognition; feature extraction; 3D facial data; Bezier surface algorithm; automatic 3D facial feature extraction algorithm; Data mining; Face recognition; Facial features; Feature extraction; Independent component analysis; Linear discriminant analysis; Nose; Principal component analysis; Surface fitting; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Technologies, Mobility and Security, 2008. NTMS '08.
  • Conference_Location
    Tangier
  • Print_ISBN
    978-1-42443547-0
  • Type

    conf

  • DOI
    10.1109/NTMS.2008.ECP.28
  • Filename
    4689082
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1577304