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Multiple Scattering in Cumulus Clouds

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Computer Vision and Graphics (ICCVG 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8671))

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Abstract

The paper presents an improved algorithm for realistic imaging of cumulus clouds. The technique is based on the lattice-Boltzmann method and takes into account multiple scattering of light in the participating medium of high albedo. Relevant estimation of a phase function for such environment is proposed. Acceleration technique with specific initialization of boundary conditions for light propagation is postulated. Obtained results are discussed and compared to existing techniques. Sample renderings are provided.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Błażej Marcinkiewicz & Jacek Raczkowski

Authors
  1. Błażej Marcinkiewicz
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  2. Jacek Raczkowski
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Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences (SGGW), Poland

    Leszek J. Chmielewski

  2. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences - SGGW, Nowoursynowska str. 159, 02-776, Warsaw, Poland

    Ryszard Kozera

  3. The .enpeda.. Project, The University of Auckland, New Zealand

    Bok-Suk Shin

  4. Institute of Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Konrad Wojciechowski

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Marcinkiewicz, B., Raczkowski, J. (2014). Multiple Scattering in Cumulus Clouds. In: Chmielewski, L.J., Kozera, R., Shin, BS., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham. https://doi.org/10.1007/978-3-319-11331-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-11331-9_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11330-2

  • Online ISBN: 978-3-319-11331-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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