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Practical measurement-based spectral rendering of human skin

Published: 12 August 2018 Publication History
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  • Abstract

    Realistic appearance modeling of human skin is an important research topic with a variety of application in computer graphics. Various diffusion based BSSRDF models [Jensen et al. 2001, Donner and Jensen 2005, Donner and Jensen 2006] have been introduced in graphics to efficiently simulate subsurface scattering in skin including modeling its layered structure. These models however assume homogeneous subsurface scattering parameters and produce spatial color variation using an albedo map. In this work, we build upon the spectral scattering model of [Donner and Jensen 2006] and target a practical measurement-based rendering approach for such a spectral BSSRDF. The model assumes scattering in the two primary layers of skin (epidermis and dermis respectively) can be modeled with relative melanin and hemoglobin chromophore concentrations respectively. To drive this model for realistic rendering, we employ measurements of skin patches using an off-the-shelf Miravex Antera 3D camera which provides spatially varying maps of these chromophore concentrations as well as corresponding 3D surface geometry (see Figure 1) using a custom imaging setup.

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    References

    [1]
    Jensen, H. W., Marschner, S. R., Levoy, M., and Hanrahan, P. 2001. A practical model for subsurface light transport. In Proceedings of ACM SIGGRAPH 2001, 511--518.
    [2]
    Donner, C., and Jensen, H. W. 2005. Light diffusion in multi-layered translucent materials. ACM Trans. Graphic. 24, 3, 1032--1039.
    [3]
    Paul Kubelka, "New Contributions to the Optics of Intensely Light-Scattering Materials. Part II: Nonhomogeneous Layers*," J. Opt. Soc. Am. 44, 330--335 (1954).
    [4]
    Donner, C., and Jensen, H. W. 2006. A spectral BSSRDF for shading human skin. In Rendering Techniques, 409--417.
    [5]
    Donner, C., Weyrich, T., Deon, E., Ramamoorthi, R., and Rusinkiewicz, S. 2008. A Layered, Heterogeneous Reflectance Model for Acquiring and Rendering Human Skin. In Trans. on Graphics (Proc. SIGGRAPH Asia), Vol. 27, 10:1 10:12.

    Cited By

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    • (2023)State of the Art in Efficient Translucent Material Rendering with BSSRDFComputer Graphics Forum10.1111/cgf.1499843:1Online publication date: 22-Dec-2023
    • (2022)A texture-driven model for male baldness2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)10.1109/SIBGRAPI55357.2022.9991744(162-167)Online publication date: 24-Oct-2022
    • (2021)Rendering of 3D Models Based on BSSRDF: A Survey3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning10.1007/978-981-16-3391-1_32(283-289)Online publication date: 2-Oct-2021

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    1. Practical measurement-based spectral rendering of human skin

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      cover image ACM Conferences
      SIGGRAPH '18: ACM SIGGRAPH 2018 Posters
      August 2018
      148 pages
      ISBN:9781450358170
      DOI:10.1145/3230744
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 12 August 2018

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      Author Tags

      1. human skin
      2. image-based realistic rendering
      3. subsurface scattering

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      Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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      Cited By

      View all
      • (2023)State of the Art in Efficient Translucent Material Rendering with BSSRDFComputer Graphics Forum10.1111/cgf.1499843:1Online publication date: 22-Dec-2023
      • (2022)A texture-driven model for male baldness2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)10.1109/SIBGRAPI55357.2022.9991744(162-167)Online publication date: 24-Oct-2022
      • (2021)Rendering of 3D Models Based on BSSRDF: A Survey3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning10.1007/978-981-16-3391-1_32(283-289)Online publication date: 2-Oct-2021

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