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Abstract:
\begin{abstract}
Passive optical motion capture is able to provide
authentically animated, photo-realistically and view-dependently
textured models of real people.
To import real-world characters into virtual environments, however,
also surface reflectance properties must be known.
We describe a video-based modeling approach that captures human
motion as well as reflectance characteristics from a handful of
synchronized video recordings.
The presented method is able to recover spatially varying
reflectance properties of clothes % dynamic objects ?
by exploiting the time-varying orientation of each surface point
with respect to camera and light direction.
The resulting model description enables us to match animated subject
appearance to different lighting conditions, as well as to
interchange surface attributes among different people, e.g. for
virtual dressing.
Our contribution allows populating virtual worlds with correctly relit,
real-world people.\\
\end{abstract}
