• DocumentCode
    2177178
  • Title

    Skin-Anatomy Based Face Texture Image Synthesis by Skin Feature Distribution Analyzing Method

  • Author

    Guo, Rui ; Takahashi, Hiroki

  • Author_Institution
    Grad. Sch. of Electro-Commun., Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2010
  • fDate
    18-22 Aug. 2010
  • Firstpage
    136
  • Lastpage
    141
  • Abstract
    This paper investigates solutions to improvement of realistic rendering quality of CG (Computer Graphics) character face. In order to manipulate face skin feature distribution, based on bio-anatomic structure, skin surface is classified into 3 layers (Internal, Regular and Local layer) to control skin base color, surface cellular venation level and noise distribution like freckle, respectively. Moreover, for the feature best re-targeting from real human to virtual character, a new face segmentation method is introduced by analyzing and overlaying the appropriate feature to the deserved area. By doing all above, a specific transformation from real human face skin data to virtual character is proposed which is meaningful for the synthesis of CG texture.
  • Keywords
    avatars; face recognition; feature extraction; image segmentation; image texture; skin; bio-anatomic structure; computer graphics; face segmentation; freckle; noise distribution; realistic rendering quality; skin feature distribution analyzing method; skin surface; skin-anatomy based face texture image synthesis; surface cellular venation level; virtual character; Face; Humans; Image color analysis; Muscles; Noise; Pixel; Skin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on
  • Conference_Location
    Changchun, Jilin Province
  • Print_ISBN
    978-1-4244-7779-1
  • Type

    conf

  • DOI
    10.1109/FCST.2010.103
  • Filename
    5577329