Adaptive importance photon shooting technique

ISCAS OpenIR

	Adaptive importance photon shooting technique
	Liu, Xiao-Dan (1); Zheng, Chang-Wen (1); Liu, X.-D.(lxdfigo@163.com)
	2014
发表期刊	Computers and Graphics (Pergamon)
ISSN	978493
卷号	38 期号:1 页码:158-166
摘要	Photon mapping is an efficient technique in global illumination and participating media rendering, but it converges slowly in complex scenes. We propose an adaptive importance photon shooting technique to accelerate the convergence rate. We analyze the scene space and build cumulative distribution functions on the surfaces to adaptively shoot photons. The rendering space is partitioned by kd-tree structure. The photons tracing through the scene are stored in the kd-tree node. An error criterion is proposed to estimate the feature error of the local light field in each node. In order to adaptively shoot photons, a novel adaptive cumulative distribution function is built in each node based on their neighbors' error values. When a photon hits a surface in the scene, the reflection direction of this photon is adaptively chosen by our cumulative distribution function. Our technique can be used in both photon mapping and progressive photon mapping. The experiments show that our adaptive importance photon shooting technique gives better results than the previous methods in both visual quality and numerical error. © 2013 Elsevier Ltd.; Photon mapping is an efficient technique in global illumination and participating media rendering, but it converges slowly in complex scenes. We propose an adaptive importance photon shooting technique to accelerate the convergence rate. We analyze the scene space and build cumulative distribution functions on the surfaces to adaptively shoot photons. The rendering space is partitioned by kd-tree structure. The photons tracing through the scene are stored in the kd-tree node. An error criterion is proposed to estimate the feature error of the local light field in each node. In order to adaptively shoot photons, a novel adaptive cumulative distribution function is built in each node based on their neighbors' error values. When a photon hits a surface in the scene, the reflection direction of this photon is adaptively chosen by our cumulative distribution function. Our technique can be used in both photon mapping and progressive photon mapping. The experiments show that our adaptive importance photon shooting technique gives better results than the previous methods in both visual quality and numerical error. © 2013 Elsevier Ltd.
收录类别	SCI ; EI
关键词	Adaptive Importance Shooting Kd-tree Progressive Photon Mapping Cumulative Distribution Function
部门归属	(1) Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, China; (2) University of Chinese Academy of Sciences, China
语种	英语
WOS记录号	WOS:000331596300020
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16871
专题	中国科学院软件研究所
通讯作者	Liu, X.-D.(lxdfigo@163.com)
推荐引用方式 GB/T 7714	Liu, Xiao-Dan ,Zheng, Chang-Wen ,Liu, X.-D.. Adaptive importance photon shooting technique[J]. Computers and Graphics (Pergamon),2014,38(1):158-166.
APA	Liu, Xiao-Dan ,Zheng, Chang-Wen ,&Liu, X.-D..(2014).Adaptive importance photon shooting technique.Computers and Graphics (Pergamon),38(1),158-166.
MLA	Liu, Xiao-Dan ,et al."Adaptive importance photon shooting technique".Computers and Graphics (Pergamon) 38.1(2014):158-166.