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View Dependent Sequential Point Trees
Wang, Wen-Cheng1; Wei, Feng1,3; Wu, En-Hua1,2
Conference Name13th Pacific Conference on Computer Graphics and Applications
Source PublicationJournal of Computer Science and Technology
Conference DateOCT 12-14, 2005
Conference PlaceMacao, PEOPLES R CHINA

Sequential point trees provide the state-of-the-art technique for rendering point models, by re-arranging hierarchical points sequentially according to geometric errors running on GPU for fast rendering. This paper presents a view dependent method to augment sequential point trees by embedding the hierarchical tree structures in the sequential list of hierarchical points. By the method, two kinds of indices are constructed to facilitate the points rendering in an order mostly from near to far and from coarse to fine. As a result, invisible points can be culled view-dependently in high efficiency for hardware acceleration, and at the same time, the advantage of sequential point trees could be still fully taken. Therefore, the new method can run much faster than the conventional sequential point trees, and the acceleration can be highly promoted particularly when the objects possess complex occlusion relationship and viewed closely because invisible points would be in a high percentage of the points at finer levels.

KeywordView Dependence Visibility Culling Gpu Point-based Rendering Real Time Rendering
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS IDWOS:000236292700006
The Source to ArticleEngineering Village
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Document TypeConference paper
CollectionFaculty of Science and Technology
Corresponding AuthorWang, Wen-Cheng; Wei, Feng; Wu, En-Hua
Affiliation1.State Key Lab of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China
2.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau Macao Special Administration Region,P.R. China
3.Graduate University, Chinese Academy of Sciences, Beijing 100039, China;
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Wang, Wen-Cheng,Wei, Feng,Wu, En-Hua. View Dependent Sequential Point Trees[C]:SCIENCE PRESS, 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA,2006:181-188.
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