Cloth Motion Capture

Recent years have seen an increased interest in motion capture systems. Current systems, however, are limited to only a few degrees of freedom, so that effectively only the motion of linked rigid bodies can be acquired. We present a system for the capture of deformable surfaces, most notably moving cloth, including both geometry and parameterisation. We recover geometry using stereo correspondence, and use the Scale Invariant Feature Transform (SIFT) to identify an arbitrary pattern printed on the cloth, even in the presence of fast motion. We describe a novel seed-and-grow approach to adapt the SIFT algorithm to deformable geometry. Finally, we interpolate feature points to parameterise the complete geometry.