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Advances in mesh signal processing and geometry compression

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1 Author(s)
Taubin, Gabriel ; IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA

Summary form only given. 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 the 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. The author provides a quick overview of the mesh signal processing approach. Then he describes in more detail some recent results and applications: linear anisotropic mesh filtering, bi-level isosurface compression, and space-optimized texture maps.

Published in:

3D Data Processing Visualization and Transmission, 2002. Proceedings. First International Symposium on

Date of Conference:

2002

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