Analysis of Human Faces using a Measurement-Based Skin Reflectance Model

 

Tim Weyrich (ETH), Wojciech Matusik (MERL), Hanspeter Pfister (MERL) Bernd Bickel (ETH), Craig Donner (UCSD), Chien Tu (MERL) Janet McAndless (MERL), Jinho Lee (MERL), Addy Ngan (MIT) Henrik Wann Jensen (UCSD), Markus Gross (ETH)

 
SIGGRAPH 2006

 

Photograph compared to a face rendered using our skin reflectance model. The rendered image was composited on top of the photograph. Right: Changing the albedo and BRDF using statistics of measured model parameters from a sample population.

 

Abstract

 

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.

 

Paper

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