Paper Info
Title
Lossless geometry compression for steady-state and time-varying irregular grids
Abstract
In this paper we investigate the problem of lossless geometry compression of irregular-grid volume data represented as a tetrahedral mesh. We propose a novel lossless compression technique that effectively predicts, models, and encodes geometry data for both steady-state (i.e., with only a single time step) and time-varying datasets. Our geometry coder is truly lossless and also does not need any connectivity information. Moreover, it can be easily integrated with a class of the best existing connectivity compression techniques for tetrahedral meshes with a small amount of overhead information. We present experimental results which show that our technique achieves superior compression ratios, with reasonable encoding times and fast (linear) decoding times.
Year
DOI
Venue
2006
10.2312/VisSym/EuroVis06/275-282
EuroVis
Keywords
Field
DocType
existing connectivity compression technique,compression technique,tetrahedral mesh,superior compression ratio,lossless geometry compression,time-varying irregular grid,geometry coder,connectivity information,overhead information,encodes geometry data,irregular-grid volume data,lossless compression,compression ratio,steady state,prediction model
Texture compression,Data compression ratio,Lossy compression,Computer science,Algorithm,Theoretical computer science,Compression ratio,Overhead information,Data compression,Image compression,Lossless compression
Conference
ISBN
Citations 
PageRank 
3-905673-31-2
3
0.49
References 
Authors
26
4
Name
Order
Citations
PageRank
Dan Chen1172.29
Yi-jen Chiang250338.21
Nasir Memon33328299.76
Xiaolin Wu43672286.80