12:30pm
EQuad E415
Title:
Progressive Geometry Compression
Abstract:
We propose a new progressive compression scheme for arbitrary
topology, highly detailed and densely sampled meshes arising from
geometry scanning. We observe that meshes consist of three
distinct components: geometry, parameter, and connectivity
information. The latter two do not contribute to the reduction of
error in a compression setting. Using semi-regular meshes, parameter
and connectivity information can be virtually eliminated. Coupled
with semi-regular wavelet transforms, zerotree coding, and
subdivision based reconstruction we see improvements in error by a
factor four (12dB) compared to other progressive coding schemes.
This is joint work with Andrei Khodakovsky and Peter Schroeder.
http://cm.bell-labs.com/who/wim/papers/compression/