• DocumentCode
    557791
  • Title

    Multi-sample 3D face registration based on TPS transformation and linear combination model

  • Author

    Hu, Yongli ; Zhu, Xianghui ; Sun, Yanfeng ; Yin, Baocai

  • Author_Institution
    Beijing Key Lab. of Multimedia & Intell. Software Technol., Beijing Univ. of Technol., Beijing, China
  • Volume
    3
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    1343
  • Lastpage
    1348
  • Abstract
    To conquer the point-to-point registration of 3D face, we present an automatic registration method for multi-sample 3D face based on the thin-plate spline(TPS) transformation and the linear combination model. In the method, the data registration is divided into two stages. In the first stage, each sample face will be registered with the selected reference face by the TPS based non-rigid registration method to obtain the primary data registration; in the second stage, the combination model is set up based on the first stage primarily registered multi-sample data. For each sample face, matched with the combination model a similar reference face will be generated to facilitate the accurate data registration by TPS registration. To eliminate the outliers of different face samples, countermeasures are adopted in both stages of the data registration. The experiments on the BJUT-3D face database show that our method is effective for the registration of 3D face and robust to the outliers of face data.
  • Keywords
    face recognition; image registration; splines (mathematics); BJUT-3D face database; automatic registration method; data registration; linear combination model; multisample 3D face registration; nonrigid registration method; point-to-point registration; reference face; thin-plate spline transformation; Accuracy; Data models; Databases; Face; Interpolation; Solid modeling; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100504
  • Filename
    6100504