Geometry-Driven Local Neighbourhood Based Predictors for Dynamic Mesh Compression

The task of dynamic mesh compression seeks to find a compact representation of a surface animation, while the artifacts introduced by the representation are as small as possible. In this paper, we present two geometric predictors, which are suitable for PCA‐based compression schemes. The predictors...

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Bibliographic Details
Published inComputer graphics forum Vol. 29; no. 6; pp. 1921 - 1933
Main Authors Váša, Libor, Skala, Václav
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.09.2010
Subjects
Animation
Compressing
compression
Computer graphics
Computer Graphics [I.3.7]: Animation
Data compression
dynamic mesh
Dynamics
Geometry
PCA
prediction
Representations
Studies
Tasks
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Summary:The task of dynamic mesh compression seeks to find a compact representation of a surface animation, while the artifacts introduced by the representation are as small as possible. In this paper, we present two geometric predictors, which are suitable for PCA‐based compression schemes. The predictors exploit the knowledge about the geometrical meaning of the data, which allows a more accurate prediction, and thus a more compact representation. We also provide rate/distortion curves showing that our approach outperforms the current PCA‐based compression methods by more than 20%.
Bibliography:istex:1742F598B937403A9090DFAAF74256A82FC6517F
ArticleID:CGF1659
ark:/67375/WNG-36MJ9F1V-4
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SourceType-Scholarly Journals-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2010.01659.x