Blue-Noise Remeshing with Farthest Point Optimization

	Blue-Noise Remeshing with Farthest Point Optimization
	Yan, Dong-Ming; Guo, Jianwei; Jia, Xiaohong; Zhang, Xiaopeng; Wonka Peter
发表期刊	Computer Graphics Forum
	2014
卷号	33 期号:5 页码:167-176
摘要	In this paper, we present a novel method for surface sampling and remeshing with good blue-noise properties. Our approach is based on the farthest point optimization (FPO), a relaxation technique that generates high quality blue-noise point sets in 2D. We propose two important generalizations of the original FPO framework: adaptive sampling and sampling on surfaces. A simple and efficient algorithm for accelerating the FPO framework is also proposed. Experimental results show that the generalized FPO generates point sets with excellent blue-noise properties for adaptive and surface sampling. Furthermore, we demonstrate that our remeshing quality is superior to the current state-of-the-art approaches.
关键词	Blue Noise Remeshing
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/14004
专题	多模态人工智能系统全国重点实验室_多媒体计算
推荐引用方式 GB/T 7714	Yan, Dong-Ming,Guo, Jianwei,Jia, Xiaohong,et al. Blue-Noise Remeshing with Farthest Point Optimization[J]. Computer Graphics Forum,2014,33(5):167-176.
APA	Yan, Dong-Ming,Guo, Jianwei,Jia, Xiaohong,Zhang, Xiaopeng,&Wonka Peter.(2014).Blue-Noise Remeshing with Farthest Point Optimization.Computer Graphics Forum,33(5),167-176.
MLA	Yan, Dong-Ming,et al."Blue-Noise Remeshing with Farthest Point Optimization".Computer Graphics Forum 33.5(2014):167-176.

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2014_CGF_FPO_small.p（3319KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载