Knowledge Commons of Institute of Automation,CAS
Low-Discrepancy Blue Noise Sampling | |
Ahmed, Abdalla G. M.1; Perrier, Helene2; Coeurjolly, David2; Ostromoukhov, Victor2; Guo, Jianwei3; Yan, Dong-Ming3; Huang, Hui4,5; Deussen, Oliver1,5 | |
发表期刊 | ACM TRANSACTIONS ON GRAPHICS |
2016-11-01 | |
卷号 | 35期号:6页码:247:1--247:13 |
文章类型 | Article |
摘要 | We present a novel technique that produces two-dimensional low-discrepancy (LD) blue noise point sets for sampling. Using one-dimensional binary van der Corput sequences, we construct two-dimensional LD point sets, and rearrange them to match a target spectral profile while preserving their low discrepancy. We store the rearrangement information in a compact lookup table that can be used to produce arbitrarily large point sets. We evaluate our technique and compare it to the state-of-the-art sampling approaches. |
关键词 | Blue Noise Low Discrepancy Sampling Monte Carlo Quasi-monte Carlo |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1145/2980179.2980218 |
关键词[WOS] | WANG TILES ; DISTRIBUTIONS ; GENERATION ; IMAGE |
收录类别 | SCI ; ISTP |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Software Engineering |
WOS记录号 | WOS:000388446200089 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/13349 |
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.Univ Konstanz, Constance, Germany 2.Univ Lyon, Lyon, France 3.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China 4.Shenzhen Univ, Shenzhen, Peoples R China 5.SIAT, Shenzhen, Peoples R China |
推荐引用方式 GB/T 7714 | Ahmed, Abdalla G. M.,Perrier, Helene,Coeurjolly, David,et al. Low-Discrepancy Blue Noise Sampling[J]. ACM TRANSACTIONS ON GRAPHICS,2016,35(6):247:1--247:13. |
APA | Ahmed, Abdalla G. M..,Perrier, Helene.,Coeurjolly, David.,Ostromoukhov, Victor.,Guo, Jianwei.,...&Deussen, Oliver.(2016).Low-Discrepancy Blue Noise Sampling.ACM TRANSACTIONS ON GRAPHICS,35(6),247:1--247:13. |
MLA | Ahmed, Abdalla G. M.,et al."Low-Discrepancy Blue Noise Sampling".ACM TRANSACTIONS ON GRAPHICS 35.6(2016):247:1--247:13. |
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2016_TOG_LDBN.pdf(12493KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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