Maximal Poisson-disk Sampling via Sampling Radius Optimization
Quan, Weize; Yan, Dong-Ming; Guo, Jianwei; Meng, Weiliang; Zhang, Xiaopeng
2016-12
会议名称ACM SIGGRAPH Asia
会议日期December 05-08, 2016
会议地点Macao
摘要
Maximal Poisson-disk Sampling (MPS) is a fundamental research
topic in computer graphics. An ideal MPS pattern should satisfy
three properties: bias-free, minimal distance, maximal coverage.
The classic approach for generating MPS is dart throwing, but
this method is unable to precisely control the number of samples
when achieving maximality [Ebeida et al. 2011]. Sample elimination
[Yuksel 2015] is an recently proposed algorithm that could
generate Poisson-disk sets with an exactly desired size, but it cannot
guarantee the maximal coverage. In this work, we propose a
simple 2D MPS algorithm that can precisely control the number
of samples, while meeting all three criteria simultaneously. Unlike
previous conflict-based methods, our algorithm controls the number
of samples by dynamically adjusting sampling radius.
DOIhttp://dx.doi.org/10.1145/3005274.3005281
收录类别EI
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13996
专题模式识别国家重点实验室_多媒体计算与图形学
通讯作者Yan, Dong-Ming
推荐引用方式
GB/T 7714
Quan, Weize,Yan, Dong-Ming,Guo, Jianwei,et al. Maximal Poisson-disk Sampling via Sampling Radius Optimization[C],2016.
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