Reflectance estimation of human face from a single shot image

Kazuki Okami, Naoya Iwamoto, Akinobu Maejima, Shigeo Morishima

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publicationACM SIGGRAPH 2013 Posters, SIGGRAPH 2013
    DOIs
    Publication statusPublished - 2013
    EventACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2013 - Anaheim, CA
    Duration: 2013 Jul 212013 Jul 25

    Other

    OtherACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2013
    CityAnaheim, CA
    Period13/7/2113/7/25

    Fingerprint

    Surface scattering
    Distribution functions
    Recovery
    Geometry

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Vision and Pattern Recognition
    • Software

    Cite this

    Okami, K., Iwamoto, N., Maejima, A., & Morishima, S. (2013). Reflectance estimation of human face from a single shot image. In ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013 [105] https://doi.org/10.1145/2503385.2503500

    Reflectance estimation of human face from a single shot image. / Okami, Kazuki; Iwamoto, Naoya; Maejima, Akinobu; Morishima, Shigeo.

    ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013. 2013. 105.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Okami, K, Iwamoto, N, Maejima, A & Morishima, S 2013, Reflectance estimation of human face from a single shot image. in ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013., 105, ACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2013, Anaheim, CA, 13/7/21. https://doi.org/10.1145/2503385.2503500
    Okami K, Iwamoto N, Maejima A, Morishima S. Reflectance estimation of human face from a single shot image. In ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013. 2013. 105 https://doi.org/10.1145/2503385.2503500
    Okami, Kazuki ; Iwamoto, Naoya ; Maejima, Akinobu ; Morishima, Shigeo. / Reflectance estimation of human face from a single shot image. ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013. 2013.
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