中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Computing 2D Periodic Centroidal Voronoi Tessellation

文献类型:会议论文

作者Yan, Dong-Ming; Wang, Kai; Lévy, Bruno; Alonso Laurent
出版日期2011
会议日期2011-06
会议地点Qing Dao
关键词Cvt
英文摘要
In this paper, we propose an efficient algorithm
to compute the centroidal Voronoi tessellation in 2D periodic
space. We first present a simple algorithm for constructing the
periodic Voronoi diagram (PVD) from a Euclidean Voronoi
diagram. The presented PVD algorithm considers only a small
set of periodic copies of the input sites, which is more efficient
than previous approaches requiring full copies of the sites
(9 in 2D and 27 in 3D). The presented PVD algorithm is
applied in a fast Newton-based framework for computing
the centroidal Voronoi tessellation (CVT). We observe that
full-hexagonal patterns can be obtained via periodic CVT
optimization attributed to the convergence of the Newton-based
CVT computation.
源URL[http://ir.ia.ac.cn/handle/173211/14015]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
推荐引用方式
GB/T 7714
Yan, Dong-Ming,Wang, Kai,Lévy, Bruno,et al. Computing 2D Periodic Centroidal Voronoi Tessellation[C]. 见:. Qing Dao. 2011-06.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

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。