Name
Abstract | ||
|---|---|---|
Visibility culling techniques have been studied extensively in computer graphics for interactive walkthrough applications in recent years. In this paper, a visibility culling approach by exploiting hardware-accelerated occlusion query is proposed. Organizing the regular grid representation of input scene as an octree-like hierarchy, a 2-tier view frustum culling algorithm is to efficiently cull away nodes invisible from a given viewpoint. Employing the eye-siding number of nodes, we can quickly enumerate an occlusion front-to-back order and effectively maximize the number of parallelizable occlusion queries for nodes while traversing the hierarchy. As experimental results show, our approach improves the overall performance in the test walkthrough. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1093/ietfec/e88-a.7.2007 | IEICE Transactions |
Keywords | Field | DocType |
eye-siding number,test walkthrough,hardware-accelerated occlusion query,2-tier view frustum,interactive walkthrough application,parallelizable occlusion query,occlusion front-to-back order,octree-like hierarchy,exploiting hardware-accelerated occlusion queries,computer graphics,visibility culling,grid,occlusion culling,hardware accelerator | Viewing frustum,Culling,Computer graphics (images),Regular grid,Theoretical computer science,Artificial intelligence,Software walkthrough,Hierarchy,Computer graphics,Traverse,Computer vision,Mathematics,Grid | Journal |
Volume | Issue | ISSN |
E88-A | 7 | 1745-1337 |
Citations | PageRank | References |
1 | 0.36 | 24 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chih-Kang Hsu | 1 | 1 | 0.36 |
| Wen-Kai Tai | 2 | 119 | 16.71 |
| Cheng-chin Chiang | 3 | 132 | 16.10 |
| Mau-Tsuen Yang | 4 | 164 | 16.07 |