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 Aug 21
EventACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2013 - Anaheim, CA, United States
Duration: 2013 Jul 212013 Jul 25

Publication series

NameACM SIGGRAPH 2013 Posters, SIGGRAPH 2013

Conference

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

ASJC Scopus subject areas

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

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