Continuous Capture of Skin Deformation
We describe a method for the acquisition of deformable human geometry from
silhouettes. Our technique uses a commercial tracking system to determine
the motion of the skeleton, then estimates geometry for each bone using
constraints provided by the silhouettes from one or more cameras. These
silhouettes do not give a complete characterization of the geometry for a
particular point in time, but when the subject moves, many observations of
the same local geometries allow the construction of a complete model.
Our reconstruction algorithm provides a simple mechanism for solving the
problems of view aggregation, occlusion handling, hole filling, noise
removal, and deformation modeling. The resulting model is parameterized
to synthesize geometry for new poses of the skeleton. We demonstrate this
capability by rendering the geometry for motion sequences that were not
included in the original datasets.
Peter Sand, Leonard McMillan, and Jovan Popovic. 2003. Continuous
Capture of Skin Deformation. ACM Transactions on Graphics (TOG)
22, 3, 578-586.
Paper (PDF, 4.6MB)
Video (MPEG1, 21.5MB)
Video (Windows Media 9, 13.0MB)
ACM Web Page
Camera Network Calibration from Dynamic Silhouettes