Disk Density Tuning of a Maximal Random Packing
文献类型：期刊论文
| 作者 | 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
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| 刊名 | Computer Graphics Forum
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| 出版日期 | 2016-08-01 |
| 卷号 | 35期号:5页码:259-269 |
| 关键词 | Samping |
| DOI | 10.1111/cgf.12981 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | UNIDIRECTIONAL COMPOSITE MICROSTRUCTURES ; REPRESENTATIVE VOLUME ELEMENTS ; FIBER-REINFORCED COMPOSITES ; MATRIX COMPOSITES ; DAMAGE ; EFFICIENT ; ALGORITHM ; FAILURE |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000383444500025 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12638]  |
| 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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