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A custom designed density estimation method for light transport

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44110

Bekaert,  Philippe
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44596

Havran,  Vlastimil
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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Volltexte (frei zugänglich)

MPI-I-2003-4-404.pdf
(beliebiger Volltext), 276KB

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Zitation

Bekaert, P., Slusallek, P., Cools, R., Havran, V., & Seidel, H.-P.(2003). A custom designed density estimation method for light transport (MPI-I-2003-4-004). Saarbrücken: Max-Planck-Institut für Informatik.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0014-6922-2
Zusammenfassung
We present a new Monte Carlo method for solving the global illumination problem in environments with general geometry descriptions and light emission and scattering properties. Current Monte Carlo global illumination algorithms are based on generic density estimation techniques that do not take into account any knowledge about the nature of the data points --- light and potential particle hit points --- from which a global illumination solution is to be reconstructed. We propose a novel estimator, especially designed for solving linear integral equations such as the rendering equation. The resulting single-pass global illumination algorithm promises to combine the flexibility and robustness of bi-directional path tracing with the efficiency of algorithms such as photon mapping.