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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Published in | Computer graphics forum Vol. 29; no. 6; pp. 1921 - 1933 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.09.2010
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Subjects | |
Online Access | Get full text |
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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%. |
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Bibliography: | istex:1742F598B937403A9090DFAAF74256A82FC6517F ArticleID:CGF1659 ark:/67375/WNG-36MJ9F1V-4 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 0167-7055 1467-8659 |
DOI: | 10.1111/j.1467-8659.2010.01659.x |