• DocumentCode
    256357
  • Title

    Approach of facial surfaces by contour

  • Author

    Ahdid, Rachid ; Safi, Said ; Manaut, Bouzid

  • Author_Institution
    Dept. of Comput. Sci., U.S.M.S., Beni Mellal, Morocco
  • fYear
    2014
  • fDate
    14-16 April 2014
  • Firstpage
    465
  • Lastpage
    468
  • Abstract
    In this work we have made a face recognition system based on the analysis of facial surfaces by analyzing the contours extracted from the 3D representation of human faces, called facial curves. Our recognition system uses the face representation of the image to the gray level as 2D surface in 3D space, with the third coordinate proportional to the intensity values of pixels. To extract the feature vector of face we used the method of analysis of facial curves. This approach is based on the mathematical definition of the space of facial surfaces. In this space the deformations are modeled by the geodesic path between two facial surfaces. The proposed method has been used for face recognition and tested on the database of face images known ORL database, developed by AT & T Laboratories Cambridge University in England, was used to evaluate the performance of our method under conditions where the pose and sample size are varied.
  • Keywords
    face recognition; feature extraction; image representation; 3D human face representation; ORL database; face recognition system; facial curves; facial surface analysis; facial surface approach; feature vector extraction; pixel intensity value; third coordinate proportional; Animation; Educational institutions; Face recognition; Geometry; Jacobian matrices; Laboratories; database ORL; face recognition system; facial curves; facial surfaces; geodesic path;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2014 International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4799-3823-0
  • Type

    conf

  • DOI
    10.1109/ICMCS.2014.6911284
  • Filename
    6911284