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Green Image
Issue No. 04 - July/August (2007 vol. 13)
ISSN: 1077-2626
pp: 663-674
Christian Theobalt , MPI Informatik, Stuhlsatzenhausweg 85, 66123 Saarbruecken, Germany
Naveed Ahmed , MPI Informatik, Stuhlsatzenhausweg 85, 66123 Saarbruecken, Germany
Hendrik Lensch , MPI Informatik, Stuhlsatzenhausweg 85, 66123 Saarbruecken, Germany
Marcus Magnor , TU Braunschweig, Computer Graphics Lab, Muehlenpfordtstr. 23, 38106 Braunschweig, Germany
Hans-Peter Seidel , MPI Informatik, Stuhlsatzenhausweg 85, 66123 Saarbruecken, Germany
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, surface reflectance properties must also 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 multiview 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 3D renditions of real-world people under arbitrary novel lighting conditions on standard graphics hardware.
INDEX TERMS
computer animation, realistic images, rendering (computer graphics), video recording
CITATION

C. Theobalt, N. Ahmed, H. Lensch, M. Magnor and H. Seidel, "Seeing People in Different Light-Joint Shape, Motion, and Reflectance Capture," in IEEE Transactions on Visualization & Computer Graphics, vol. 13, no. 4, pp. 663-674, 2008.
doi:10.1109/TVCG.2007.1006
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