Estimation of Spectral Biophysical Skin Properties from Captured RGB Albedo
This enables more realistic skin modeling and editing in computer graphics applications, though it appears to be an incremental improvement over existing skin modeling approaches.
The researchers tackled the problem of reconstructing spectral biophysical skin properties from simple RGB albedo captures, developing a method that can faithfully reproduce any skin type including challenging areas like lips and facial imperfections.
We present a new method to reconstruct and manipulate the spectral properties of human skin from simple RGB albedo captures. To this end, we leverage Monte Carlo light simulation over an accurate biophysical human skin layering model parameterized by its most important components, thereby covering a plausible range of colors. The practical complexity of the model allows us to learn the inverse mapping from any albedo to its most probable associated skin properties. Our technique can faithfully reproduce any skin type, being expressive enough to automatically handle more challenging areas like the lips or imperfections in the face. Thanks to the smoothness of the skin parameters maps recovered, the albedo can be robustly edited through meaningful biophysical properties.