Diffusion Based Photon Mapping

Lars Schjøth; Ole Fogh Olsen; Jon Sporring

Diffusion Based Photon Mapping

Lars Schjøth, Ole Fogh Olsen, Jon Sporring

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Advances in Computer Graphics and Computer Vision : International conferences, VISAPP and GRAPP 2006, Setúbal, Portugal, February 25-28, 2006 : revised selected papers
Editors	José Braz, Alpesh Ranchordas, Helder Araújo, Joaquim Jorge
Place of Publication	Berlin/Heidelberg
Publisher	Springer
Publication date	2007
Pages	109-122
ISBN (Print)	9783540752721
ISBN (Electronic)	9783540752745
Publication status	Published - 2007

Series	Communications in Computer and Information Science
Number	4
ISSN	1865-0929

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Schjøth, L., Fogh Olsen, O., & Sporring, J. (2007). Diffusion Based Photon Mapping. In J. Braz, A. Ranchordas, H. Araújo, & J. Jorge (Eds.), Advances in Computer Graphics and Computer Vision: International conferences, VISAPP and GRAPP 2006, Setúbal, Portugal, February 25-28, 2006 : revised selected papers (pp. 109-122). Springer. Communications in Computer and Information Science No. 4

Diffusion Based Photon Mapping. / Schjøth, Lars; Fogh Olsen, Ole; Sporring, Jon.

Advances in Computer Graphics and Computer Vision: International conferences, VISAPP and GRAPP 2006, Setúbal, Portugal, February 25-28, 2006 : revised selected papers. ed. / José Braz; Alpesh Ranchordas; Helder Araújo; Joaquim Jorge. Berlin/Heidelberg : Springer, 2007. p. 109-122 (Communications in Computer and Information Science; No. 4).

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research

Schjøth, L, Fogh Olsen, O & Sporring, J 2007, Diffusion Based Photon Mapping. in J Braz, A Ranchordas, H Araújo & J Jorge (eds), Advances in Computer Graphics and Computer Vision: International conferences, VISAPP and GRAPP 2006, Setúbal, Portugal, February 25-28, 2006 : revised selected papers. Springer, Berlin/Heidelberg, Communications in Computer and Information Science, no. 4, pp. 109-122.

Schjøth L, Fogh Olsen O, Sporring J. Diffusion Based Photon Mapping. In Braz J, Ranchordas A, Araújo H, Jorge J, editors, Advances in Computer Graphics and Computer Vision: International conferences, VISAPP and GRAPP 2006, Setúbal, Portugal, February 25-28, 2006 : revised selected papers. Berlin/Heidelberg: Springer. 2007. p. 109-122. (Communications in Computer and Information Science; No. 4).

Schjøth, Lars ; Fogh Olsen, Ole ; Sporring, Jon. / Diffusion Based Photon Mapping. Advances in Computer Graphics and Computer Vision: International conferences, VISAPP and GRAPP 2006, Setúbal, Portugal, February 25-28, 2006 : revised selected papers. editor / José Braz ; Alpesh Ranchordas ; Helder Araújo ; Joaquim Jorge. Berlin/Heidelberg : Springer, 2007. pp. 109-122 (Communications in Computer and Information Science; No. 4).

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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.

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Diffusion Based Photon Mapping

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