• DocumentCode
    632794
  • Title

    Local WYSIWYG volume visualization

  • Author

    Hanqi Guo ; Xiaoru Yuan

  • Author_Institution
    Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    Feb. 27 2013-March 1 2013
  • Firstpage
    65
  • Lastpage
    72
  • Abstract
    In this paper, we propose a novel volume visualization system enabling local transfer function specification through direct painting or sketching on the rendered image, in a WYSIWYG style. Localized transfer functions are defined on scalar topology regions specified by the user. Intelligent and fast feature inference algorithms have been developed to convert user´s input to the region specification and to achieve desirable feature styles with the local transfer functions. In our system, users can not only manipulate the color appearance of the object volume, but also apply style transfer and generate various illustration styles with a unified input gesture. Without manual transfer function editing and without parameter specification, our system is capable of generating informative illustrations that intuitively highlight user specified local features.
  • Keywords
    data visualisation; inference mechanisms; rendering (computer graphics); transfer functions; color appearance; direct rendered image painting; fast feature inference algorithms; intelligent inference algorithms; local WYSIWYG volume visualization system; local transfer function specification; localized transfer functions; object volume; region specification; rendered image sketching; scalar topology regions; unified input gesture; Painting; Semantics; Three-dimensional displays; Topology; Transfer functions; User interfaces; Visualization; Local transfer functions; Scalar field topology; Sketch-based user interface; Volume visualization; WYSIWYG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization Symposium (PacificVis), 2013 IEEE Pacific
  • Conference_Location
    Sydney, NSW
  • ISSN
    2165-8765
  • Type

    conf

  • DOI
    10.1109/PacificVis.2013.6596129
  • Filename
    6596129