Residential College | false |
Status | 已發表Published |
View Dependent Sequential Point Trees | |
Wang, Wen-Cheng1; Wei, Feng1,3; Wu, En-Hua1,2 | |
2006-03-01 | |
Conference Name | 13th Pacific Conference on Computer Graphics and Applications |
Source Publication | Journal of Computer Science and Technology |
Volume | 21 |
Issue | 2 |
Pages | 181-188 |
Conference Date | OCT 12-14, 2005 |
Conference Place | Macao, PEOPLES R CHINA |
Publisher | SCIENCE PRESS, 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA |
Abstract | 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. |
Keyword | View Dependence Visibility Culling Gpu Point-based Rendering Real Time Rendering |
DOI | 10.1007/s11390-006-0181-y |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Hardware & Architecture ; Computer Science, Software Engineering |
WOS ID | WOS:000236292700006 |
The Source to Article | Engineering Village |
Scopus ID | 2-s2.0-33645933919 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | Faculty of Science and Technology |
Corresponding Author | Wang, Wen-Cheng; Wei, Feng; Wu, En-Hua |
Affiliation | 1.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 Affilication | Faculty 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. |
APA | Wang, Wen-Cheng., Wei, Feng., & Wu, En-Hua (2006). View Dependent Sequential Point Trees. Journal of Computer Science and Technology, 21(2), 181-188. |
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