• DocumentCode
    2660209
  • Title

    A morphing technique for facial image representation

  • Author

    Kouzani, Abbas Z. ; Nahavandi, S. ; Kouzani, N. ; Kong, L.X. ; She, F.H.

  • Author_Institution
    Sch. of Eng. & Technol., Deakin Univ., Geelong, Vic., Australia
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1378
  • Abstract
    Presents a method for the representation of facial images. The proposed method consists of two modules: face-image matching and face-image morphing. In the first module, the correspondence between two images are calculated for all pixel locations. A novel area-based matching method is proposed that makes use of the concept of the fractal dimension, and develops a non-parametric local transform as a basis for establishing the correspondence between two face images. In the second module, a mapping is performed for deformation of the source face image on to the target face image. This is done to map the pixels in the source face image to the location of their corresponding pixels in the target image
  • Keywords
    face recognition; image matching; image morphing; image representation; subroutines; area-based matching method; face image matching; face image morphing; facial image representation; fractal dimension; image correspondence; image deformation; modules; nonparametric local transform; pixel locations; Australia; Distance measurement; Eyes; Face detection; Face recognition; Fractals; Image representation; Mouth; Nose; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2000 IEEE International Conference on
  • Conference_Location
    Nashville, TN
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-6583-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2000.886046
  • Filename
    886046