Diffusion Based Photon Mapping
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Diffusion Based Photon Mapping. / Schjøth, Lars; Olsen, Ole Fogh; Sporring, Jon.
Proceeding of the First International conference on Computer Graphics -- Theory and Applications -- (GRAPP). 2006. p. 168-175.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Diffusion Based Photon Mapping
AU - Schjøth, Lars
AU - Olsen, Ole Fogh
AU - Sporring, Jon
N1 - Conference code: 1
PY - 2006
Y1 - 2006
N2 - Density estimation employed in multi-pass global illumination algorithms give cause to a trade-off problem between bias and noise. The problem is seen most evident as blurring of strong illumination features. In particular this blurring erodes fine structures and sharp lines prominent in caustics. To address this problem we introduce a novel photon mapping algorithm based on nonlinear anisotropic diffusion. Our algorithm adapts according to the structure of the photon map such that smoothing occurs along edges and structures and not across. In this way we preserve the important illumination features, while eliminating noise. We call our method diffusion based photon mapping.
AB - Density estimation employed in multi-pass global illumination algorithms give cause to a trade-off problem between bias and noise. The problem is seen most evident as blurring of strong illumination features. In particular this blurring erodes fine structures and sharp lines prominent in caustics. To address this problem we introduce a novel photon mapping algorithm based on nonlinear anisotropic diffusion. Our algorithm adapts according to the structure of the photon map such that smoothing occurs along edges and structures and not across. In this way we preserve the important illumination features, while eliminating noise. We call our method diffusion based photon mapping.
M3 - Article in proceedings
SP - 168
EP - 175
BT - Proceeding of the First International conference on Computer Graphics -- Theory and Applications -- (GRAPP)
Y2 - 29 November 2010
ER -
ID: 4850992