• DocumentCode
    2617247
  • Title

    Eigen-points [image matching]

  • Author

    Covell, Michele ; Bregler, Christoph

  • Author_Institution
    Interval Res. Corp., Palo Alto, CA, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    471
  • Abstract
    Eigen-points places control points onto unmarked images. The control points are the image locations corresponding to fiduciary points on an object. For example, we might designate ten points on the outside boundary of the lip as fiduciary points on a face. Then, the control points mark the image locations where those points on the outside lip boundary appear. The control-point locations are estimated using a coupled manifold model, which describes the joint variation of the image appearance and the control-point location. The paper first discusses why this problem is interesting and then reviews previous approaches to placing control points on images of deformable objects. It also outlines our approach to placing control points automatically. Finally, some results from our analysis are presented
  • Keywords
    eigenvalues and eigenfunctions; face recognition; feature extraction; image matching; control point locations; coupled manifold model; deformable objects; eigenpoints; face recognition; fiduciary points; image appearance; image features; image locations; image matching; image shape; joint variation; outside lip boundary; Automatic control; Deformable models; Gray-scale; Image analysis; Image databases; Image reconstruction; Image segmentation; Lips; Milling machines; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560533
  • Filename
    560533