Progressive compression of geometry information with smooth intermediate meshes

Taejung Park, Haeyoung Lee, Chang Hun Kim

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

4 Citations (Scopus)

Abstract

We present a new geometry compression algorithm for manifold 3D meshes based on octree coding. For a given mesh, regular volume grids are built with an adaptive octree. For each grid point, a binary sign, which indicates inside or outside of the mesh, is generated based on the distance to the mesh. In each leaf cell having a vertex, a least square fitting plane is created for a localized geometry range with signs. Finally, quantized geometry information is locally encoded. We demonstrate that the octree with signs can be used to predict the vertex positions. As a result, the proposed method generates competitive bitrates compared to the current state-of-art progressive geometry coder. Our method also shows better rate-distortion performance during decompression or transmission with improved smoothness.

Original languageEnglish
Title of host publicationPattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings
PublisherSpringer Verlag
Pages89-96
Number of pages8
EditionPART 2
ISBN (Print)9783540728481
DOIs
Publication statusPublished - 2007
Event3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007 - Girona, Spain
Duration: 2007 Jun 62007 Jun 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4478 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007
CountrySpain
CityGirona
Period07/6/607/6/8

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Park, T., Lee, H., & Kim, C. H. (2007). Progressive compression of geometry information with smooth intermediate meshes. In Pattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings (PART 2 ed., pp. 89-96). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4478 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-540-72849-8_12