• DocumentCode
    3256938
  • Title

    Paint by relaxation

  • Author

    Hertzmann, Aaron

  • Author_Institution
    New York Univ., NY, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    47
  • Lastpage
    54
  • Abstract
    We use relaxation to produce painted imagery from images and video. An energy function is first specified; we then search for a painting with minimal energy. The appeal of this strategy is that, ideally, we need only specify what we want, not how to directly compute it. Because the energy function is very difficult to optimize, we use a relaxation algorithm combined with search heuristics. This formulation allows us to specify painting style by varying the relative weights of energy terms. The basic energy function yields an economical style that conveys an image with few strokes. This style produces greater temporal coherence for video than previous techniques. The system allows as fine user control as desired: the user may interactively change the painting style, specify variations of style over an image, and/or add specific strokes to the painting
  • Keywords
    art; image processing; rendering (computer graphics); search problems; art; energy function; energy minimization; image processing; painted imagery; painting; relaxation algorithm; rendering; search heuristics; temporal coherence; video; Computer graphics; Control systems; Motion pictures; Optical filters; Painting; Paints; Power generation economics; Rendering (computer graphics); TV; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics International 2001. Proceedings
  • Conference_Location
    Hong Kong
  • ISSN
    1530-1052
  • Print_ISBN
    0-7695-1007-8
  • Type

    conf

  • DOI
    10.1109/CGI.2001.934657
  • Filename
    934657