Authors ’ Addresses

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 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 creating realistic 3D renditions of real-world people under arbitrary novel lighting conditions on standard graphics hardware