2 research outputs found
Biharmonic deformation transfer with automatic key point selection
Deformation transfer is an important research problem in geometry processing
and computer animation.A fundamental problem for existing deformation transfer
methods is to build reliable correspondences. This is challenging, especially
when the source and target shapes differ significantly and manual labeling is
typically used. We propose a novel deformation transfer method that aims at
minimizing user effort. We adapt a biharmonic weight deformation framework
which is able to produce plausible deformation even with only a few key points.
We then develop an automatic algorithm to identify a minimum set of key points
on the source model that characterizes the deformation well. While minimal user
effort is still needed to specify corresponding points on the target model for the
selected key points, our approach avoids the difficult problem of choosing key
points. Experimental results demonstrate that our method, despite requiring
little user effort, produces better deformation results than alternative solutions.
Keywords: shape deformation; biharmonic weights; key point selection;
deformation transfe