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Abstract:
By means of passive optical motion capture real people can be authentically
animated and photo-realistically textured. 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 shape
and motion as well as reflectance characteristics from a handful of
synchronized video recordings. The presented method is able to recover
spatially varying surface reflectance properties of clothes from multi-view
video footage.The resulting model description enables us to realistically
reproduce the appearance of animated virtual actors under different lighting
conditions, as well as to interchange surface attributes among different
people, e.g. for virtual dressing.Our contribution can be used to create
\mbox{3D} renditions of real-world people under arbitrary novel lighting
conditions on standard graphics hardware.
