ISCAS OpenIR
线性复杂度的网格优化划分
Alternative Titleoptimizing grid construction in linear complexity
李静; 王文成
2011
Source软件学报
ISSN1000-9825
Volume22Issue:10Pages:2488-2496
English Abstract均匀网格划分是一种重要的场景空间组织结构,在光线跟踪绘制、碰撞检测、路径规划等方面有着广泛的应用.特别是由于其计算简单,很适合动态环境的处理.由于该结构的创建时间、空间需求和应用效率与网格分辨率密切相关,优化的网格划分一直是国际上探讨的重要问题.对此,提出一种新的优化划分方法,确保该结构的创建时间和空间需求都是O(N)复杂度的.这里,N是场景的面片数.同时,在相关的应用计算方面,比如光线跟踪,可与目前最好的加速计算结构相媲美.实验结果表明,该优化划分方法所产生的层次网格结构具有与当前主流的加速结构kd树相当的加速效率,且大幅降低了创建时间,优于已有的类似工作.
Indexed TypeCNKI ; EI ; CSCD
AbstractUniform grid is one of the important spatial organization structures, which is widely used in many applications such as ray tracing, collision detection, path planning and so on. Its simplicity to compute makes it very suitable for processing dynamic scenes. Because its construction time, space requirement and application efficiency are closely related with the grid resolution, optimizing grid construction has always been an important topic in the world. Hense, a new optimization method for grid construction which ensures that both of the construction time and the space requirement are in the complexity O(N), where N is the number of the primitives in the scene is proposed. In the related applications, such as ray tracing, it can achieve high acceleration efficiency, comparable with the best acceleration structures to date, such as the kd-tree, while reducing the construction time dramatically. These have been approved by the experimental results. © 2011 ISCAS.
Keyword网格 光线跟踪 动态场景 大规模场景 分辨率
Department中国科学院软件研究所计算机科学国家重点实验室;
SubjectComputer Science
Sponsorship国家自然科学基金(60873182,60773026,60833007)
Language中文
CSCD IDCSCD:4306899
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16055
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
李静,王文成. 线性复杂度的网格优化划分[J]. 软件学报,2011,22(10):2488-2496.
APA 李静,&王文成.(2011).线性复杂度的网格优化划分.软件学报,22(10),2488-2496.
MLA 李静,et al."线性复杂度的网格优化划分".软件学报 22.10(2011):2488-2496.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[李静]'s Articles
[王文成]'s Articles
Baidu academic
Similar articles in Baidu academic
[李静]'s Articles
[王文成]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[李静]'s Articles
[王文成]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.