kd-tree based parallel adaptive rendering

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	kd-tree based parallel adaptive rendering
	Liu Xiao-Dan ; Wu Jia-Ze ; Zheng Chang-Wen
刊名	Visual Computer
	2012
卷号	28 期号:41068 页码:613-623
ISSN号	1782789
英文摘要	Multidimensional adaptive sampling technique is crucial for generating high quality images with effects such as motion blur, depth-of-field and soft shadows, but it costs a lot of memory and computation time. We propose a novel kd-tree based parallel adaptive rendering approach. First, a two-level framework for adaptive sampling in parallel is introduced to reduce the computation time and control the memory cost: in the prepare stage, we coarsely sample the entire multidimensional space and use kd-tree structure to separate it into several multidimensional subspaces; in the main stage, each subspace is refined by a sub kd-tree and rendered in parallel. Second, novel kd-tree based strategies are introduced to measure space's error value and generate anisotropic Poisson disk samples. The experimental results show that our algorithm produces better quality images than previous ones. © 2012 Springer-Verlag.
收录类别	EI
语种	英语
WOS记录号	WOS:000304411500010
公开日期	2012-11-12
内容类型	期刊论文
源URL	[http://ir.iscas.ac.cn/handle/311060/14708]
专题	软件研究所_软件所图书馆_期刊论文
推荐引用方式 GB/T 7714	Liu Xiao-Dan,Wu Jia-Ze,Zheng Chang-Wen. kd-tree based parallel adaptive rendering[J]. Visual Computer,2012,28(41068):613-623.
APA	Liu Xiao-Dan,Wu Jia-Ze,&Zheng Chang-Wen.(2012).kd-tree based parallel adaptive rendering.Visual Computer,28(41068),613-623.
MLA	Liu Xiao-Dan,et al."kd-tree based parallel adaptive rendering".Visual Computer 28.41068(2012):613-623.