• DocumentCode
    2459723
  • Title

    An Automatic Rendering Method of Line Strokes for Chinese Landscape Painting

  • Author

    Li, Dajin

  • Author_Institution
    Commun. Sch., Shandong Normal Univ., Jinan, China
  • fYear
    2012
  • fDate
    14-15 Sept. 2012
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Chinese painting is very abstract and emotional, and drawing techniques are flexible and full of changes. Painting with line strokes is one of the most important drawing techniques for Chinese paintings. A method to automatically render line brush strokes for Chinese landscape paintings is proposed in this paper. Analyzed the common techniques of drawing lines used by artists, we developed a new type of view-dependent feature line: Side Lines. In Chinese landscape painting, side lines are generally used to portray rock folds. For polygonal mesh models, we define side lines as the lines that are located in the model of concave area, and their adjacent polygons are nearly parallel to the view direction. We use silhouettes and side lines to convey mountain shape, and give a detailed line strokes rendering algorithm. The results of rendering show that our method can simulate well the drawing technique of "GOU" in Chinese landscape paintings.
  • Keywords
    art; computational geometry; mesh generation; rendering (computer graphics); Chinese landscape painting; Chinese paintings; GOU; automatic rendering method; detailed line strokes rendering algorithm; drawing techniques; line strokes; mountain shape; polygonal mesh models; rock folds; side lines; view-dependent feature line; Image edge detection; Ink; Painting; Rendering (computer graphics); Shape; Solid modeling; Vectors; Chinese landscape painting; Line Strokes; automatic rendering; nonphotorealistic rendering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality and Visualization (ICVRV), 2012 International Conference on
  • Conference_Location
    Qinhuangdao
  • Print_ISBN
    978-1-4673-5154-6
  • Electronic_ISBN
    978-0-7695-4836-4
  • Type

    conf

  • DOI
    10.1109/ICVRV.2012.12
  • Filename
    6377334