UM
View-dependent progressive transmission of highly detailed surfaces
Ji J.-F.2; Li S.2; Liu X.-H.2; Wu E.-H.2
2006-10-01
Source PublicationRuan Jian Xue Bao/Journal of Software
ISSN10009825
Volume17Issue:10Pages:2192-2198
AbstractThis paper presents a novel approach for the progressive transmission of highly detailed surfaces interactively. Based on the characteristics in human vision, 3D surfaces are converted into the hierarchical quadtree in parameter space and a normal texture atlas. By taking advantage of normal mapping, only the silhouette to current viewpoint is refined and transmitted, and consequently the amount of patches needed to transfer each frame is greatly reduced. The structure of the representation is simple, so efficient compression scheme can be applied to encoding the hierarchical topological structure. At the same time, the parametric patches can be transmitted in arbitrary order due to their regular connectivity, so the truly view-dependent transmission could be achieved in high efficiency. Experiment results show that the approach proposed is feasible and highly efficient in meeting the requirement, especially to those models with highly detailed surfaces.
KeywordNetwork Normal mapping Progressive transmission Quadtree View-dependent
DOI10.1360/jos172192
URLView the original
Language英語
全文获取链接
引用统计
Document TypeJournal article
专题University of Macau
Affiliation1.State Information Center
2.Institute of Software Chinese Academy of Sciences
3.Universidade de Macau
4.Chinese Academy of Sciences
5.Peking University
推荐引用方式
GB/T 7714
Ji J.-F.,Li S.,Liu X.-H.,et al. View-dependent progressive transmission of highly detailed surfaces[J]. Ruan Jian Xue Bao/Journal of Software,2006,17(10):2192-2198.
APA Ji J.-F.,Li S.,Liu X.-H.,&Wu E.-H..(2006).View-dependent progressive transmission of highly detailed surfaces.Ruan Jian Xue Bao/Journal of Software,17(10),2192-2198.
MLA Ji J.-F.,et al."View-dependent progressive transmission of highly detailed surfaces".Ruan Jian Xue Bao/Journal of Software 17.10(2006):2192-2198.
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
Google Scholar
中相似的文章 Google Scholar
[Ji J.-F.]的文章
[Li S.]的文章
[Liu X.-H.]的文章
Baidu academic
中相似的文章 Baidu academic
[Ji J.-F.]的文章
[Li S.]的文章
[Liu X.-H.]的文章
Bing Scholar
中相似的文章 Bing Scholar
[Ji J.-F.]的文章
[Li S.]的文章
[Liu X.-H.]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。