Datensatz

Zusammenfassung

This thesis contributes to capturing 3D cloth shape, editing cloth texture and
altering object shape and motion in multi-camera and monocular video
recordings. We propose a technique to capture cloth shape from a 3D scene flow
by
determining optical flow in several camera views. Together with a silhouette
matching constraint we can track and reconstruct cloth surfaces in long video
sequences. In the area of garment motion capture, we present a system to
reconstruct time-coherent triangle meshes from multi-view video recordings.
Texture mapping of the acquired triangle meshes is used to replace the recorded
texture with new cloth patterns. We extend this work to the more challenging
single camera view case. Extracting texture deformation and shading effects
simultaneously enables us to achieve texture replacement effects for garments
in monocular video recordings. Finally, we propose a system for the keyframe
editing of video objects. A color-based segmentation algorithm together with
automatic video inpainting for filling in missing background texture allows us
to edit the shape and motion of 2D video objects. We present examples for
altering object trajectories, applying non-rigid deformation and simulating
camera motion.