Title :
Compressing hexahedral volume meshes
Author :
Isenburg, Martin ; Alliez, Pierre
Author_Institution :
North Carolina Univ., Chapel Hill, NC, USA
Abstract :
Unstructured hexahedral volume meshes are of particular interest for visualization and simulation applications. They allow regular tiling of the three-dimensional space and show good numerical behaviour in finite element computations. Beside such appealing properties, volume meshes take huge amount of space when stored in a raw format. We present a technique for encoding connectivity and geometry of unstructured hexahedral volume meshes. For connectivity compression, we extend the idea of coding with degrees as pioneered by Touma and Gotsman (1998) to volume meshes. Hexahedral connectivity is coded as a sequence of edge degrees. This naturally exploits the regularity of typical hexahedral meshes. We achieve compression rates of around 1.5 bits per hexahedron (bph) that go down to 0.18 bph for regular meshes. On our test meshes the average connectivity compression ratio is 1:162.7. For geometry compression, we perform simple parallelogram prediction on uniformly quantized vertices within the side of a hexahedron. Tests show an average geometry compression ratio of 1:3.7 at a quantization level of 16 bits.
Keywords :
computational geometry; data compression; data visualisation; mesh generation; connectivity compression ratio; data visualization; finite element computations; geometry compression; hexahedral connectivity; hexahedral volume mesh compression; parallelogram prediction; quantization; simulation; uniformly quantized vertices; Computational geometry; Computational modeling; Computer graphics; Computer industry; Data visualization; Encoding; Finite element methods; Quantization; Testing; Thermodynamics;
Conference_Titel :
Computer Graphics and Applications, 2002. Proceedings. 10th Pacific Conference on
Print_ISBN :
0-7695-1784-6
DOI :
10.1109/PCCGA.2002.1167872