Analysis of human faces using a measurement-based skin reflectance model

We have measured 3D face geometry, skin reflectance, and subsurface scattering using custom-built devices for 149 subjects of varying age, gender, and race. We developed a novel skin reflectance model whose parameters can be estimated from measurements. The model decomposes the large amount of measu...

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Bibliographic Details
Published inACM transactions on graphics Vol. 25; no. 3; pp. 1013 - 1024
Main Authors Weyrich, Tim, Matusik, Wojciech, Pfister, Hanspeter, Bickel, Bernd, Donner, Craig, Tu, Chien, McAndless, Janet, Lee, Jinho, Ngan, Addy, Jensen, Henrik Wann, Gross, Markus
Format Journal Article
LanguageEnglish
Published New York Association for Computing Machinery 01.07.2006
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Summary:We have measured 3D face geometry, skin reflectance, and subsurface scattering using custom-built devices for 149 subjects of varying age, gender, and race. We developed a novel skin reflectance model whose parameters can be estimated from measurements. The model decomposes the large amount of measured skin data into a spatially-varying analytic BRDF, a diffuse albedo map, and diffuse subsurface scattering. Our model is intuitive, physically plausible, and -- since we do not use the original measured data -- easy to edit as well. High-quality renderings come close to reproducing real photographs. The analysis of the model parameters for our sample population reveals variations according to subject age, gender, skin type, and external factors (e.g., sweat, cold, or makeup). Using our statistics, a user can edit the overall appearance of a face (e.g., changing skin type and age) or change small-scale features using texture synthesis (e.g., adding moles and freckles). We are making the collected statistics publicly available to the research community for applications in face synthesis and analysis.
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ISSN:0730-0301
1557-7368
DOI:10.1145/1141911.1141987