標題: Importance sampling of products from illumination and BRDF using spherical radial basis functions
作者: Tsai, Yu-Ting
Chang, Chin-Chen
Jiang, Qing-Zhen
Weng, Shr-Ching
資訊工程學系
多媒體工程研究所
Department of Computer Science
Institute of Multimedia Engineering
關鍵字: illumination;environment map;bidirectional reflectance distribution function;importance sampling;spherical radial basis function
公開日期: 1-Jul-2008
摘要: In this paper, a new approach for the importance sampling of products from a complex high dynamic range (HDR) environment map and measured bidirectional reflectance distribution function (BRDF) data using spherical radial basis functions (SRBFs) is presented. In the pre-process, a complex HDR environment map and measured BRDF data are transformed into a scattered SRBF representation by using a non-uniform and non-negative SRBF fitting algorithm. An initial guess is determined for the fitting operation. In the run-time rendering process, after the product of the two SRBFs is evaluated, this is used to guide the number of samples. The sampling is done by mixing samples from the various "product" SRBFs using multiple importance sampling. Hence, the proposed approach efficiently renders images with multiple HDR environment maps and measured BRDFs.
URI: http://dx.doi.org/10.1007/s00371-008-0263-7
http://hdl.handle.net/11536/29264
ISSN: 0178-2789
DOI: 10.1007/s00371-008-0263-7
期刊: VISUAL COMPUTER
Volume: 24
Issue: 7-9
起始頁: 817
結束頁: 826
Appears in Collections:Conferences Paper


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