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Feature-Based Visibility-Driven CLOD for Terrain
Sheng Li1; Xuehui Liu1; Enhua Wu1,2
2003
Conference Name11th Pacific Conference on Computer Graphics and Applications
Source PublicationProceedings - Pacific Conference on Computer Graphics and Applications
Volume2003-January
Pages313-322
Conference Date8-10 Oct. 2003
Conference PlaceCanmore, Alta., Canada, Canada
PublisherIEEE 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.

KeywordAcceleration Aerospace Simulation Computer Graphics Computer Science Feature Extraction Information Science Large-scale Systems Layout Rendering (Computer Graphics) Software Tools
DOIhttps://doi.org/10.1109/PCCGA.2003.1238273
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering
WOS IDWOS:000186635000034
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Cited Times [WOS]:4   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionFaculty of Science and Technology
Affiliation1.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.
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