“LightCluster – Clustering Lights to Accelerate Shadow Computation” by Wiesenhütter, Klein and Nischwitz

  • ©Daniel Wiesenhütter, Andreas Klein, and Alfred Nischwitz

  • ©Daniel Wiesenhütter, Andreas Klein, and Alfred Nischwitz

  • ©Daniel Wiesenhütter, Andreas Klein, and Alfred Nischwitz

Conference:


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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.


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©Daniel Wiesenhütter, Andreas Klein, and Alfred Nischwitz ©Daniel Wiesenhütter, Andreas Klein, and Alfred Nischwitz

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