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Conference Paper

Real-time Indirect Illumination with Clustered Visibility

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44343

Dong,  Zhao
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44531

Grosch,  Thorsten
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45298

Ritschel,  Tobias
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44747

Kautz,  Jan
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Dong, Z., Grosch, T., Ritschel, T., Kautz, J., & Seidel, H.-P. (2009). Real-time Indirect Illumination with Clustered Visibility. In Vision, Modeling, and Visualization Workshop (VMV). ---: ---.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-19D1-D
Abstract
Visibility computation is often the bottleneck when rendering indirect illumination. However, recent methods based on instant radiosity have demonstrated that accurate visibility is not required for indirect illumination. To exploit this insight, we cluster a large number of virtual point lights -- which represent the indirect illumination when using instant radiosity -- into a small number of virtual area lights. This allows us to compute visibility using recent real-time soft shadow algorithms. Such approximate and fractional from-area visibility is faster to compute and avoids banding when compared to exact binary from-point visibility. Our results show, that the perceptual error of this approximation is negligible and that we achieve real-time frame-rates for large and dynamic scenes.