Capturing and animating skin deformation in human motion
ACM SIGGRAPH 2006 Papers
Capturing and animating occluded cloth
ACM SIGGRAPH 2007 papers
Reweighted random walks for graph matching
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
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We present a 3D reconstruction method enabling high resolution marker-based capturing of deforming surfaces. In contrast to previous work, we allow all markers to look exactly the same and do not rely on temporal tracking. This implies considerable advantages: markers can be smaller and are easier to apply due to omitted identification; long-range motions normally confusing temporal tracking algorithms become feasible. However, the correct matching of markers between camera views is highly ambiguous in such a scenario. To solve this problem we propose an optimization framework that considers multiview conflicts and local smoothness of the captured surface. An iterative relaxation method based on graph matching is adopted to obtain a consistent, smooth reconstruction for all stereo pairs of a multi-camera system simultanously. Preliminary experiments show excellent and robust results.