Blue noise sampling using an N-body simulation-based method.

	Blue noise sampling using an N-body simulation-based method.
	Wong, Kin-Ming; Wong, Tien-Tsin
刊名	VISUAL COMPUTER
	2017
文献子类	期刊论文
英文摘要	We present a physically based blue noise sampling approach which can be evaluated efficiently by using the N-body simulation method. A set of sample points is modeled as electrically charged particles on an imaginary 2D plane where they self-organize by movement to minimize the electrostatic force that they each experience. The resulting particles' positions at equilibrium exhibit an equidistant neighborhood characteristic that fulfills the essential requirement of a quality blue noise point set. We propose to use the Velocity Verlet algorithm commonly used in molecular dynamics simulation as our integration method, and we apply custom adaptation to improve the convergence rate for our purpose. Our method uses the magnitude of electrical charge of particles as anintuitive control parameter of the spectral behavior of the generated blue noise point sets. We are able to obtain high-quality blue noise point sets comparable to the state-of-the-art results, and we have also implemented a simple GPU application to evaluate our method on the image stippling application.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/11597]
专题	深圳先进技术研究院_集成所
作者单位	VISUAL COMPUTER
推荐引用方式 GB/T 7714	Wong, Kin-Ming,Wong, Tien-Tsin. Blue noise sampling using an N-body simulation-based method.[J]. VISUAL COMPUTER,2017.
APA	Wong, Kin-Ming,&Wong, Tien-Tsin.(2017).Blue noise sampling using an N-body simulation-based method..VISUAL COMPUTER.
MLA	Wong, Kin-Ming,et al."Blue noise sampling using an N-body simulation-based method.".VISUAL COMPUTER (2017).