“LightCluster – Clustering Lights to Accelerate Shadow Computation” by Wiesenhütter, Klein and Nischwitz
Conference:
Type(s):
Entry Number: 66
Title:
- LightCluster - Clustering Lights to Accelerate Shadow Computation
Presenter(s)/Author(s):
Abstract:
Shadows are an important part of a visualization and give the viewer supplemental details about the appearance of objects. In real-time rendering, shadow mapping [Williams 1978] is a popular approach to compute shadows. However, a shadow map must be computed for each light and thus, the memory and the computation time increases with the number of lights.
References:
1. Dong, Z., Grosch, T., Ritschel, T., Kautz, J., and Seidel, H.-P. 2009. Real-time indirect illumination with clustered visibility. In Proc. of the VMV, 187–196.
2. Fernando, R. 2005. Percentage-closer soft shadows. In ACM SIGGRAPH 2005 Sketches, ACM, New York, NY, USA, SIGGRAPH ’05.
3. Williams, L. 1978. Casting curved shadows on curved surfaces. SIGGRAPH Comput. Graph. 12, 3 (Aug.), 270–274.
4. Wolfowitz, J. 1957. The minimum distance method. Annals of Mathematical Statistics 28, 1, 75–88.
Additional Images:
![©Daniel Wiesenhütter, Andreas Klein, and Alfred Nischwitz](https://history.siggraph.org/wp-content/uploads/2023/01/2013-Poster-66-Weisenhutter_LightCluster-Clustering-Lights-to-Accelerate-Shadow-Computation-04.jpg)
![©Daniel Wiesenhütter, Andreas Klein, and Alfred Nischwitz](https://history.siggraph.org/wp-content/uploads/2023/01/2013-Poster-66-Weisenhutter_LightCluster-Clustering-Lights-to-Accelerate-Shadow-Computation-05.jpg)