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Poster

Monocular Facial Appearance Capture in the Wild

Yingyan Xu · Kate Gadola · Prashanth Chandran · Sebastian Weiss · Markus Gross · Gaspard Zoss · Derek Bradley


Abstract:

We present a new method for reconstructing the appearance properties of human faces from a lightweight capture procedure in an unconstrained environment. Our method recovers the surface geometry, diffuse albedo, specular intensity and specular roughness from a monocular video containing a simple head rotation in-the-wild. Notably, we make no simplifying assumptions on the environment lighting, and we explicitly take visibility and occlusions into account. As a result, our method can produce facial appearance maps that approach the fidelity of studio-based multi-view captures, but with a far easier and cheaper procedure.

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