Name
Abstract | ||
|---|---|---|
Mesh chartification is an important tool for processing meshes in various applications. In this paper, we present a novel feature sensitive mesh chartification technique that can handle huge meshes with limited main memory. Our technique adapts the mesh chartification approach using Lloyd-Max quantization to out-of-core processing. While the previous approach updates chartification globally at each iteration of Lloyd-Max quantization, we propose a local update algorithm where only a part of the chartification is processed at a time. By repeating the local updates, we can obtain a chartification of a huge mesh that cannot fit into the main memory. We verify the accuracy of the serialized local updates by comparing the results with the global update approach. We demonstrate that our technique can successfully process huge meshes for applications, such as mesh compression, shape approximation, and remeshing. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11784203_47 | Computer Graphics International |
Keywords | Field | DocType |
mesh chartification approach,mesh chartification,large polygonal mesh,huge mesh,mesh compression,local updates,lloyd-max quantization,sensitive out-of-core chartification,local update algorithm,sensitive mesh chartification technique,previous approach,global update approach | Laplacian smoothing,Polygon mesh,Computer graphics (images),Computer science,Volume mesh,Computational science,Out-of-core algorithm,T-vertices,Artificial intelligence,Static mesh,Computer vision,Quantization (signal processing),Mesh generation | Conference |
Volume | ISSN | ISBN |
4035 | 0302-9743 | 3-540-35638-X |
Citations | PageRank | References |
3 | 0.43 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sungyul Choe | 1 | 39 | 2.81 |
| Minsu Ahn | 2 | 46 | 4.66 |
| Seungyong Lee | 3 | 2130 | 157.29 |