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Conference Paper

Spatio-temporal Photon Density Estimation Using Bilateral Filtering

MPS-Authors
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Weber,  Markus
Computer Graphics, MPI for Informatics, Max Planck Society;

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Milch,  Marco
Computer Graphics, MPI for Informatics, Max Planck Society;

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Myszkowski,  Karol
Computer Graphics, MPI for Informatics, Max Planck Society;

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Dmitriev,  Kirill Alexandrovich
Computer Graphics, MPI for Informatics, Max Planck Society;

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Rokita,  Przemyslaw
Computer Graphics, MPI for Informatics, Max Planck Society;

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

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Citation

Weber, M., Milch, M., Myszkowski, K., Dmitriev, K. A., Rokita, P., & Seidel, H.-P. (2004). Spatio-temporal Photon Density Estimation Using Bilateral Filtering. In D. Cohen-Or, L. Jain, & N. Magnenat-Thalmann (Eds.), Proceedings of the 2004 Computer Graphics International Conference (pp. 120-127). Los Alamitos, USA: IEEE.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2B40-6
Abstract
Photon tracing and density estimation are well established
techniques in global illumination computation and rendering of
high-quality animation sequences. Using traditional density estimation
techniques
it is difficult to remove stochastic noise inherent for photon-based
methods while avoiding overblurring lighting details.
In this paper we investigate the use of bilateral filtering
for lighting reconstruction based on the local density of photon hit points.
Bilateral filtering is applied in spatio-temporal domain and
provides control over the level-of-details in reconstructed lighting.
All changes of lighting below this level are treated as
stochastic noise and are suppressed. Bilateral
filtering proves to be efficient in preserving sharp features
in lighting which is in particular important for high-quality caustic
reconstruction. Also, flickering
between subsequent animation frames is substantially reduced
due to extending bilateral filtering into temporal domain.