DocumentCode :
2171571
Title :
Feature-based visibility-driven CLOD for terrain
Author :
Li, Sheng ; Liu, Xuehui ; Wu, Enhua
Author_Institution :
Inst. of Software, Chinese Acad. of Sci., Beijing, China
fYear :
2003
fDate :
8-10 Oct. 2003
Firstpage :
313
Lastpage :
322
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.
Keywords :
feature extraction; realistic images; rendering (computer graphics); cascading occlusion culling; feature-based CLOD; large model rendering; occlusion horizon algorithm; real-time visualization; terrain environment walkthrough; view-dependent level-of-detail; visibility culling; visibility-driven CLOD; Acceleration; Aerospace simulation; Computer graphics; Computer science; Feature extraction; Information science; Large-scale systems; Layout; Rendering (computer graphics); Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics and Applications, 2003. Proceedings. 11th Pacific Conference on
Print_ISBN :
0-7695-2028-6
Type :
conf
DOI :
10.1109/PCCGA.2003.1238273
Filename :
1238273
Link To Document :
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