Estimation-quantization geometry coding using normal meshes

Sridhar Lavu, Hyeokio Choi, Richard Baraniuk

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

7 Scopus citations

Abstract

A new algorithm for compressing three-dimensional triangular mesh data was used for representing surfaces. The estimation-quantization (EQ) algorithm was applied. EQ was originally designed for still image compression to the normal mesh wavelet coefficient. The EQ algorithm models the wavelet coefficients as a Gaussian random field with slowly varying standard deviation. By designing the quantizers in a rate-distortion optimal fashion, the previously proposed zerotree normal mesh compression algorithm has improved distortion by 0.5 to 1 dB.

Original languageEnglish (US)
Title of host publicationProceedings - DCC 2003
Subtitle of host publicationData Compression Conference
EditorsJames A. Storer, Martin Cohn
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages362-371
Number of pages10
ISBN (Electronic)0769518966
DOIs
StatePublished - 2003
EventData Compression Conference, DCC 2003 - Snowbird, United States
Duration: Mar 25 2003Mar 27 2003

Publication series

NameData Compression Conference Proceedings
Volume2003-January
ISSN (Print)1068-0314

Other

OtherData Compression Conference, DCC 2003
CountryUnited States
CitySnowbird
Period3/25/033/27/03

Keywords

  • Algorithm design and analysis
  • Animation
  • Compression algorithms
  • Data engineering
  • Image coding
  • Information geometry
  • Rate-distortion
  • Solid modeling
  • Spatial resolution
  • Wavelet coefficients

ASJC Scopus subject areas

  • Computer Networks and Communications

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