Paper Info
Title
Feature-based visibility-driven CLOD for terrain
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.
Year
DOI
Venue
2003
10.1109/PCCGA.2003.1238273
Pacific Conference on Computer Graphics and Applications
Keywords
Field
DocType
real-time visualization,large model rendering,terrain environment walkthrough,visibility-driven clod,rendering (computer graphics),view-dependent level-of-detail,realistic images,time consumption,occlusion horizon algorithm,cascading occlusion culling,terrain environment,feature extraction,new cascading occlusion culling,visibility-drivencontinuous lod,feature-based clod,real time,visibility determination,feature-based visibility-driven clod,visibility preprocessing,visibility culling,large-scale terrain environment,level of detail,occlusion culling
Computer vision,Visibility,Computer science,Visualization,Terrain,Feature extraction,Artificial intelligence,Frame rate,Software walkthrough,Terrain rendering,Rendering (computer graphics)
Conference
ISBN
Citations 
PageRank 
0-7695-2028-6
5
0.57
References 
Authors
24
3
Name
Order
Citations
PageRank
Sheng Li113415.13
Xue-Hui Liu225626.39
Enhua Wu3916115.33