Predictive compression of geometry, color and normal data of 3-D mesh models

Jeong Hwan Ahn, Chang-Su Kim, Yo Sung Ho

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Predictive compression algorithms for geometry, color and normal data of three-dimensional (3-D) mesh models are proposed in this work. In order to eliminate redundancies in geometry data, we predict each vertex position by exploiting the position and angle information in neighboring triangles. To compress color data, we propose a mapping table scheme that compresses frequently recurring colors efficiently. For normal data, we propose an average predictor and a 6-4 subdivision quantizer to improve coding gain. Simulation results demonstrate that the proposed algorithm provides better performance than the MPEG-4 standard for 3-D mesh model coding (3-DMC).

Original languageEnglish
Pages (from-to)291-299
Number of pages9
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume16
Issue number2
DOIs
Publication statusPublished - 2006 Feb

Keywords

  • Colors
  • Geometry
  • MPEG-4
  • Normal vectors
  • Three-dimensional mesh model coding (3-DMC)
  • VRML

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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