2/21/2002
3:30pm-4:30pm
ECCR 265
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Signal Processing on Polygon Meshes and 3D Geometry Compression
IBM Thomas J. Watson Research Center
Several closely related methods have been proposed in recent years to smooth,
denoise, edit, compress, transmit, and animate very large polygon meshes, based
on topological and combinatorial methods, signal processing techniques,
constrained energy minimization, and the solution of diffusion differential
equations. In particular, polygon models, which are used in most graphics
applications, require considerable amounts of storage, even when they only
approximate precise shapes with limited accuracy. To support internet access to
3D models of complex virtual environments or assemblies for electronic shopping,
collaborative CAD, multi-player video games, scientific visualization,
representations of 3D shapes must be compressed by several orders of magnitude.
In this talk I will describe my approach to signal processing on meshes and
schemes for lossy and loss-less compression of triangle and polygonal meshes,
including progressive methods. If time allows, I will also give a short overview
of recent projects, including the scanning of Michelangelo's Florentine Pieta,
contributions to the MPEG-4 standardization effort, IBM's HotMedia, and the
implementation of a 3D digital camera.
Hosted by Clayton Lewis.
Refreshments will be served immediately following the talk in ECOT 831.
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