| Paper: | MP-P7.9 |
| Session: | Motion Detection and Estimation II |
| Time: | Monday, September 17, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
SPATIO-TEMPORAL REGISTRATION TECHNIQUES FOR RELIGHTABLE 3D VIDEO |
| Authors: |
Naveed Ahmed; MPI Informatik | | |
| | Christian Theobalt; MPI Informatik | | |
| | Marcus Magnor; Braunschweig Technical University | | |
| | Hans-Peter Seidel; MPI Informatik | | |
| Abstract: |
By jointly applying a model-based marker-less motion capture approach and multi-view texture generation 3D Videos of human actors can be reconstructed from multi-view video streams. If the input data were recorded under calibrated lighting, the texture information can also be used to measure time-varying surface reflectance. This way, 3D videos can be realistically displayed under novel lighting conditions. Reflectance estimation is only feasible if the multi-view texture-to-surface registration is consistent over time. In this paper, we propose two image-based warping methods that compensate registration errors due to inaccurate model geometry and shifting of apparel over the body. |
