Disk Density Tuning of a Maximal Random Packing

doi:10.1111/cgf.12981

	Disk Density Tuning of a Maximal Random Packing
	Ebeida, Mohamed S.1; Rushdi, Ahmad A.1,2; Awad, Muhammad A.3; Mahmoud, Ahmed H.4; Yan, Dong-Ming5 ; English, Shawn A.1; Owens, John D.4; Bajaj, Chandrajit L.2; Mitchell, Scott A.1
发表期刊	Computer Graphics Forum
	2016-08-01
卷号	35 期号:5 页码:259-269
文章类型	Article
摘要	We introduce an algorithmic framework for tuning the spatial density of disks in a maximal random packing, without changing the sizing function or radii of disks. Starting from any maximal random packing such as a Maximal Poisson-disk Sampling (MPS), we iteratively relocate, inject (add), or eject (remove) disks, using a set of three successively more-aggressive local operations. We may achieve a user-defined density, either more dense or more sparse, almost up to the theoretical structured limits. The tuned samples are conflict-free, retain coverage maximality, and, except in the extremes, retain the blue noise randomness properties of the input. We change the density of the packing one disk at a time, maintaining the minimum disk separation distance and the maximum domain coverage distance required of any maximal packing. These properties are local, and we can handle spatially-varying sizing functions. Using fewer points to satisfy a sizing function improves the efficiency of some applications. We apply the framework to improve the quality of meshes, removing non-obtuse angles; and to more accurately model fiber reinforced polymers for elastic and failure simulations.
关键词	Samping
WOS标题词	Science & Technology ; Technology
DOI	10.1111/cgf.12981
关键词[WOS]	UNIDIRECTIONAL COMPOSITE MICROSTRUCTURES ; REPRESENTATIVE VOLUME ELEMENTS ; FIBER-REINFORCED COMPOSITES ; MATRIX COMPOSITES ; DAMAGE ; EFFICIENT ; ALGORITHM ; FAILURE
收录类别	SCI ; EI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:000383444500025
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12638
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	1.Sandia Natl Labs, POB 5800, Albuquerque, NM 87185 USA 2.Univ Texas Austin, Austin, TX 78712 USA 3.Univ Alexandria, Alexandria, Egypt 4.Univ Calif Davis, Davis, CA 95616 USA 5.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Ebeida, Mohamed S.,Rushdi, Ahmad A.,Awad, Muhammad A.,et al. Disk Density Tuning of a Maximal Random Packing[J]. Computer Graphics Forum,2016,35(5):259-269.
APA	Ebeida, Mohamed S..,Rushdi, Ahmad A..,Awad, Muhammad A..,Mahmoud, Ahmed H..,Yan, Dong-Ming.,...&Mitchell, Scott A..(2016).Disk Density Tuning of a Maximal Random Packing.Computer Graphics Forum,35(5),259-269.
MLA	Ebeida, Mohamed S.,et al."Disk Density Tuning of a Maximal Random Packing".Computer Graphics Forum 35.5(2016):259-269.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
2016_CGF_DiskPacking（6492KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载