Progressive compression of 3D triangular meshes using topology-based Karhunen-Loève transform

Jae Kyun Ahn, Dae Youn Lee, Minsu Ahn, James Do Kyoon Kim, ChangYeong Kim, Chang-Su Kim

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

10 Citations (Scopus)

Abstract

In this work, we propose a progressive compression algorithm using topology-based Karhunen-Loeve transform(KLT). First, we simplify an input mesh to represents an original mesh in several level of details. Then, coordinates of decimated vertices at each level are predicted from the coarser level mesh, and the prediction residuals are transmitted to a decoder. To provide high coding efficiency, we apply the topology-based KLT, which compacts the energy into a few coefficients, to the prediction residuals. Moreover, we develop a bit plane coder, which uses a context-adaptive arithmetic coder, for the entropy coding. Experiments on various 3D meshes show that the proposed algorithm provides enhanced compression performance.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages3417-3420
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 2010 Sep 262010 Sep 29

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period10/9/2610/9/29

Keywords

  • Bit plane coding
  • Karhunen-Loève transform
  • Progressive compression
  • Triangular mesh compression

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Ahn, J. K., Lee, D. Y., Ahn, M., Kim, J. D. K., Kim, C., & Kim, C-S. (2010). Progressive compression of 3D triangular meshes using topology-based Karhunen-Loève transform. In 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings (pp. 3417-3420). [5653130] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2010.5653130