• DocumentCode
    1791391
  • Title

    Mapping peking opera facial makeup onto a human face image based on facial landmarks

  • Author

    Xuewen Ou ; Xiaoyu Wu ; Yichun Zhang ; Qifan Fu

  • Author_Institution
    Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
  • fYear
    2014
  • fDate
    14-16 Oct. 2014
  • Firstpage
    699
  • Lastpage
    703
  • Abstract
    Peking Opera facial makeup is a form of art, which is also a form of handicraft art. Mapping Peking Opera facial makeup onto human faces in images could let more people get access to Peking Opera, which is a meaningful way to bring the traditional art into digital world. Some researches built vector-based libraries of the patterns of the facial makeup and covered the facial makeup onto human faces in a vector way. However, their method is difficult to do the points and curves control and is not efficient enough. In this paper, we present a method for mapping the Peking Opera facial makeup onto a frontal human face in an image based on modified Active Shape Model (ASM), Delaunay triangulation and affine transformation. Our approach is tested with different images of human faces and types of facial makeup. The result shows that the facial makeup fits the human face tightly and naturally with eyes and mouth revealed. Comparing with other methods, our method is more efficient and user friendly, which would be beneficial for those who are interested in Peking Opera and it´s facial makeup.
  • Keywords
    image processing; mesh generation; ASM; Delaunay triangulation; Peking Opera facial makeup; active shape model; facial landmarks; image deformation; Active shape model; Art; Computational modeling; Face; Mouth; Transforms; Vectors; Active Shape Model Delaunay triangulation; Peking Opera facial makeup; affine transformation; image deformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2014 7th International Congress on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/CISP.2014.7003868
  • Filename
    7003868