• DocumentCode
    2517049
  • Title

    Modeling of Smoke from a Single View

  • Author

    Liu, Zhengyan ; Hu, Yong ; Qi, Yue

  • Author_Institution
    State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China
  • fYear
    2011
  • fDate
    4-5 Nov. 2011
  • Firstpage
    291
  • Lastpage
    294
  • Abstract
    This paper presents a simple method for modeling smoke from a single view, which could preserve fine realistic look observed from different views. Thin translucent smoke, generated by cigarette, candle, joss stick et al, is the main focus of this paper. The proposed method initially computes the smoke intensity from the input key frame image, then partitions the smoke into multiple segments. For each segment of smoke, the principal direction is calculated by principal component analysis, and two basic functions are generated. Depth of each pixel in the image is estimated with the basic functions. Then, three-dimensional density distributions are constructed by referring to the intensity and depth. Finally, smoke density distributions at key frames are used to generate animated smoke. Experiment results indicate that our method can synthesize visually realistic smoke from a single view with low computational cost.
  • Keywords
    image resolution; image segmentation; principal component analysis; smoke; solid modelling; animated smoke; image resolution; image segmentation; input key frame image; principal component analysis; smoke intensity; thin translucent smoke; three-dimensional density distributions; Computational modeling; Fasteners; Image segmentation; Interpolation; Mathematical model; Media; Solid modeling; animated smoke; image-based modeling; single view; smoke modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality and Visualization (ICVRV), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-2156-4
  • Type

    conf

  • DOI
    10.1109/ICVRV.2011.8
  • Filename
    6092732