Anisotropic progressive photon mapping

ISCAS OpenIR

	Anisotropic progressive photon mapping
	Liu, XiaoDan (1); Zheng, ChangWen (1)
	2014
会议名称	5th International Conference on Graphic and Image Processing, ICGIP 2013
会议日期	October 26, 2013 - October 27, 2013
会议地点	Hong Kong, China
收录类别	CPCI ; EI
出版地	SPIE, P.O. Box 10, Bellingham, WA 98227-0010, United States
ISSN	0277786X
ISBN	9781628410013
部门归属	(1) National Key Laboratory of Integrated Information System Technology, Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) University of Chinese Academy of Sciences, Beijing, China
摘要	Progressive photon mapping solves the memory limitation problem of traditional photon mapping. It gives the correct radiance with a large passes, but it converges slowly. We propose an anisotropic progressive photon mapping method to generate high quality images with a few passes. During the rendering process, different from standard progressive photon mapping, we store the photons on the surfaces. At the end of each pass, an anisotropic method is employed to compute the radiance of each eye ray based on the stored photons. Before move to a new pass, the photons in the scene are cleared. The experiments show that our method generates better results than the standard progressive photon mapping in both numerical and visual qualities. © 2014 Copyright SPIE.; Progressive photon mapping solves the memory limitation problem of traditional photon mapping. It gives the correct radiance with a large passes, but it converges slowly. We propose an anisotropic progressive photon mapping method to generate high quality images with a few passes. During the rendering process, different from standard progressive photon mapping, we store the photons on the surfaces. At the end of each pass, an anisotropic method is employed to compute the radiance of each eye ray based on the stored photons. Before move to a new pass, the photons in the scene are cleared. The experiments show that our method generates better results than the standard progressive photon mapping in both numerical and visual qualities. © 2014 Copyright SPIE.
关键词	K-nearest Photons Progressive Photon Mapping Kernel Estimator Anisotropic
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16551
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Liu, XiaoDan ,Zheng, ChangWen . Anisotropic progressive photon mapping[C]. SPIE, P.O. Box 10, Bellingham, WA 98227-0010, United States,2014.