Diffusion Based Photon Mapping

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

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 proceedingArticle in proceedingsResearchpeer-review

Harvard

Schjøth, L, Olsen, OF & Sporring, J 2006, Diffusion Based Photon Mapping. in Proceeding of the First International conference on Computer Graphics -- Theory and Applications -- (GRAPP). pp. 168-175, International Conference on Computer Graphics Theory and Applications, Portugal, 29/11/2010.

APA

Schjøth, L., Olsen, O. F., & Sporring, J. (2006). Diffusion Based Photon Mapping. In Proceeding of the First International conference on Computer Graphics -- Theory and Applications -- (GRAPP) (pp. 168-175)

Vancouver

Schjøth L, Olsen OF, Sporring J. Diffusion Based Photon Mapping. In Proceeding of the First International conference on Computer Graphics -- Theory and Applications -- (GRAPP). 2006. p. 168-175

Author

Schjøth, Lars ; Olsen, Ole Fogh ; Sporring, Jon. / Diffusion Based Photon Mapping. Proceeding of the First International conference on Computer Graphics -- Theory and Applications -- (GRAPP). 2006. pp. 168-175

Bibtex

@inproceedings{141f6550475f11ddb7b4000ea68e967b,
title = "Diffusion Based Photon Mapping",
abstract = "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.",
author = "Lars Schj{\o}th and Olsen, {Ole Fogh} and Jon Sporring",
year = "2006",
language = "English",
pages = "168--175",
booktitle = "Proceeding of the First International conference on Computer Graphics -- Theory and Applications -- (GRAPP)",
note = "null ; Conference date: 29-11-2010",

}

RIS

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