• DocumentCode
    1574475
  • Title

    Estimation of the mouth features using deformable templates

  • Author

    Zhang, Liang

  • Author_Institution
    Inst. fur Theor. Nachrichtentech. und Inf., Hannover Univ., Germany
  • Volume
    3
  • fYear
    1997
  • Firstpage
    328
  • Abstract
    Automatic estimation of mouth features is one of the important topics for face recognition and model-based coding of videophone sequences. An automatic mouth feature estimation algorithm which uses deformable templates is developed. Here, the mouth features are represented by the corner points of the mouth as well as the so called lip outline parameters. The lip outline parameters describe the opening of the mouth and the thickness of the lips. Compared to previous works, simplified cost functions are introduced. Furthermore, an algorithm for automatic determination of whether the mouth is open or closed is developed. Experimental results obtained with typical videophone sequence are given to evaluate the performance of the proposed algorithm. It is shown that in about 37% of the images the mouth features could be automatically estimated, which can be used e.g. for improving face modelling in a model-based coder
  • Keywords
    edge detection; face recognition; feature extraction; image matching; image sequences; parameter estimation; video coding; videotelephony; automatic mouth feature estimation algorithm; closed mouth; corner points; cost functions; deformable templates; edge detector; experimental results; face modelling; face recognition; feature representation; lip outline parameters; lip thickness; model-based coder; model-based coding; mouth opening; performance evaluation; videophone sequence; videophone sequences; Cost function; Erbium; Face recognition; Facial features; Humans; Lips; Mouth; Parameter estimation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.632107
  • Filename
    632107