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 article |
URI: | http://wscg.zcu.cz/WSCG2013/!_2013_J_WSCG-1.pdf http://hdl.handle.net/11025/6875 |
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 | Size | Format | |
---|---|---|---|---|
Wiesenhütter.pdf | Plný text | 4,86 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/6875
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