Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzbeitrag

Real-time Indirect Illumination with Clustered Visibility

MPG-Autoren
/persons/resource/persons44343

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

/persons/resource/persons44531

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

/persons/resource/persons45298

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

/persons/resource/persons44747

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

/persons/resource/persons45449

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

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

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 (pp. 187-196). DNB.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-000F-19D1-D
Zusammenfassung
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.