“Reflectance Estimation of Human Face from a Single Shot Image” by Okami, Iwamoto, Maejima and Morishima

  • ©Kazuki Okami, Naoya Iwamoto, Akinobu Maejima, and Shigeo Morishima



Entry Number: 88


    Reflectance Estimation of Human Face from a Single Shot Image



    Simulation of the reflectance of translucent materials is one of the most important factors in the creation of realistic CG objects. Estimating the reflectance characteristics of translucent materials from a single image is a very efficient way of re-rendering objects that exist in real environments. However, this task is considerably challenging because this approach leads to problems such as the existence of many unknown parameters. Munoz et al. [2011] proposed a method for the estimation of the bidirectional surface scattering reflectance distribution function (BSSRDF) from a given single image. However, it is difficult or impossible to estimate the BSSRDF of materials with complex shapes because this method’s target was the convexity of objects therefore, it used a rough depth recovery technique for global convex objects. In this paper, we propose a method for accurately estimating the BSSRDF of human faces, which have complex shapes. We use a 3D face reconstruction technique to satisfy the above assumption. We are able to acquire more accurate geometries of human faces, and it enables us to estimate the reflectance characteristics of faces.


    1. Jensen, H. W., Marschner, S. R., Levoy, M., and Hanrahan, P. 2001. A practical model for subsurface light transport. In Proc. SIGGRAPH 2001, 511–518.
    2. Maejima, A., and Morishima, S. 2008. Fast Plausible 3D Face Generation from a Single Photograph. ACM SIGGRAPH ASIA 2008, Poster, maejima.pdf.
    3. Munoz, A., Echevarria, J. I., Seron, F. J., Lopez-Moreno, J., Glencross, M., and Gutierrez, D. 2011. BSSRDF Estimation from Single Images. In Proc. Computer Graphics Forum 30, 2, 455–464.


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