Title: LightCluster - Clustering Lights to Accelerate Shadow Computation
Authors: Wiesenhütter, Daniel
Klein, Andreas
Nischwitz, Alfred
Citation: Journal of WSCG. 2013, vol. 21, no. 1, p. 31-40.
Issue Date: 2013
Publisher: Václav Skala - Union Agency
Document type: článek
URI: http://wscg.zcu.cz/WSCG2013/!_2013_J_WSCG-1.pdf
ISSN: 1213–6972 (hardcopy)
1213-6980 (CD-ROM)
1213–6964 (on-line)
Keywords: klastrování světla;mapování stínů;měkké stíny;vizualizace
Keywords in different language: light clustering;shadow mapping;soft shadows;visualization
Abstract: In this paper, we propose a method to reduce the amount of shadow maps required for rendering shadows in scenes with many lights. Our idea is to use the spatial relationship of lights to find clusters and replace the lights of a cluster with a single area light. We use a soft shadow algorithm for area lights to approximate the shadows for the clusters. By carefully placing the cluster centers, we can minimize the errors in the shadows. While the clustering only adds a small overhead in the worst case, it can efficiently reduce the number of shadow maps. Thus, in many cases the resulting error in shadows is acceptable compared to the increase in rendering performance.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Volume 21, Number 1 (2013)

Files in This Item:
File Description SizeFormat 
Wiesenhütter.pdfPlný text4,86 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/6875

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.