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Seing people in different light: Joint shape, motion and reflectance capture
| Venue: | IEEE TVCG |
| Citations: | 37 - 8 self |
BibTeX
@ARTICLE{Theobalt_seingpeople,
author = {Christian Theobalt and Naveed Ahmed and Hendrik Lensch and Marcus Magnor and Hans-peter Seidel},
title = {Seing people in different light: Joint shape, motion and reflectance capture},
journal = {IEEE TVCG},
year = {},
pages = {663--674}
}
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Abstract
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—3D video, dynamic reflectometry, real-time rendering, relighting. Ç 1
Keyphrases
different light reflectance capture joint shape surface reflectance property synchronized video recording real-time rendering real-world character animated virtual actor presented method dynamic reflectometry model description virtual dressing different lighting condition different people reflectance characteristic index term real-world people passive optical motion capture human shape multiview video footage standard graphic hardware real people video-based modeling approach virtual environment arbitrary novel
