Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/37736
標題: A novel approach to sampling the coiled tubing surface with an application for Monte Carlo direct lighting
作者: Wang, C.M.
王宗銘 
Wang, P.C.
關鍵字: stratified sampling algorithms;coiled tubing surface;parabolic;interpolation;hierarchical allocation strategy;Monte Carlo method;canal surface
Project: Ieice Transactions on Information and Systems
期刊/報告no:: Ieice Transactions on Information and Systems, Volume E87D, Issue 6, Page(s) 1545-1553.
摘要: 
Sampling is important for many applications in research areas such as graphics. vision, and image processing. In this paper. we present a novel stratified sampling algorithm (SSA) for the coiled tubing surface with a given probability density function. The algorithm is developed from the inverse function of the integration for the areas of the coiled tubing surface. We exploit a Hierarchical Allocation Strategy (HAS) to preserve sample stratification when generating any desirable sample numbers. This permits us to reduce variances when applying our algorithm to Monte Carlo Direct Lighting for realistic image generation. We accelerate the sampling process using a segmentation technique in the integration domain. Our algorithm thus runs 324 orders of magnitude faster when using faster SSA algorithm where the order of the magnitude is proportional to the sample numbers. Finally. we employ a parabolic interpolation technique to decrease the average errors occurred for using the segmentation technique. This permits us to produce nearly constant average errors, independent of the sample numbers. The proposed algorithm is novel, efficient in computing and feasible for realistic image generation using Monte Carlo method.
URI: http://hdl.handle.net/11455/37736
ISSN: 0916-8532
Appears in Collections:資訊科學與工程學系所

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