Residential College | false |
Status | 已發表Published |
Feature-Based Visibility-Driven CLOD for Terrain | |
Sheng Li1; Xuehui Liu1; Enhua Wu1,2 | |
2003 | |
Conference Name | 11th Pacific Conference on Computer Graphics and Applications |
Source Publication | Proceedings - Pacific Conference on Computer Graphics and Applications |
Volume | 2003-January |
Pages | 313-322 |
Conference Date | 8-10 Oct. 2003 |
Conference Place | Canmore, Alta., Canada, Canada |
Publisher | IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA |
Abstract | View-dependent level-of-detail (LOD) and visibility culling are two powerful tools for accelerating the rendering of very large models in a real-time visualization, especially in walkthrough of a large-scale terrain environment. In this paper, we propose a visibility-driven Continuous LOD (CLOD) framework for terrain, which takes advantage of both techniques. The visibility determination is based on the well-known occlusion horizon algorithm. By making use of the features of the terrain extracted in pre-processing stage, a new cascading occlusion culling (COC) algorithm is proposed to cull those regions classified as invisible to current viewpoint in real time. The time consumption and storage overheads that we spend on visibility preprocessing are quite small. Visibility-driven CLOD enhances culling efficiency and improves the frame rates significantly for walkthrough of a terrain environment. |
Keyword | Acceleration Aerospace Simulation Computer Graphics Computer Science Feature Extraction Information Science Large-scale Systems Layout Rendering (Computer Graphics) Software Tools |
DOI | 10.1109/PCCGA.2003.1238273 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Software Engineering |
WOS ID | WOS:000186635000034 |
Scopus ID | 2-s2.0-84943558870 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | Faculty of Science and Technology |
Affiliation | 1.Laboratory of Computer Science Institute of Software, Chinese Academy of Sciences, Beijing, China 2.Department of Computer and Information Science, University of Macau, Macao, China |
Recommended Citation GB/T 7714 | Sheng Li,Xuehui Liu,Enhua Wu. Feature-Based Visibility-Driven CLOD for Terrain[C]:IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, 2003, 313-322. |
APA | Sheng Li., Xuehui Liu., & Enhua Wu (2003). Feature-Based Visibility-Driven CLOD for Terrain. Proceedings - Pacific Conference on Computer Graphics and Applications, 2003-January, 313-322. |
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