Spectral compression of mesh geometry

Z. Karni, C. Gotsman

Research output: Contribution to conferencePaperpeer-review

541 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)
Pages279-286
Number of pages8
DOIs
StatePublished - 2000
Externally publishedYes
EventSIGGRAPH 2000 - New Orleans, LA, United States
Duration: Jul 23 2000Jul 28 2000

Other

OtherSIGGRAPH 2000
Country/TerritoryUnited States
CityNew Orleans, LA
Period7/23/007/28/00

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Keywords

  • Compression algorithms
  • Signal processing

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