Datensatz

Zusammenfassung

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.