Spectral Compression of Mesh Geometry

Zachi Karni, Craig Gotsman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We show how spectral methods may be applied to 3D mesh data to obtain compact representations. This is achieved by projecting the mesh geometry onto an orthonormal basis derived from the mesh topology. To reduce complexity, the mesh is partitioned into a number of balanced submeshes with minimal interaction, each of which are compressed independently. Our methods may be used for compression and progressive transmission of 3D content, and are shown to be vastly superior to existing methods using spatial techniques, if slight loss can be tolerated.

Original languageEnglish (US)
Title of host publicationSIGGRAPH 2000 - Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques
PublisherAssociation for Computing Machinery, Inc
Pages279-286
Number of pages8
ISBN (Electronic)1581132085, 9781581132083
DOIs
StatePublished - Jul 1 2000
Externally publishedYes
Event27th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2000 - New Orleans, United States
Duration: Jul 23 2000Jul 28 2000

Publication series

NameSIGGRAPH 2000 - Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques

Conference

Conference27th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2000
Country/TerritoryUnited States
CityNew Orleans
Period7/23/007/28/00

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Keywords

  • Compression Algorithms, Signal Processing

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