Photon differentials

Lars Schjøth; Jeppe Revall Frisvad; Kenny Erleben; Jon Sporring

Photon differentials

Lars Schjøth, Jeppe Revall Frisvad, Kenny Erleben, Jon Sporring

Abstract

A number of popular global illumination algorithms uses density estimation to approximate indirect illumination. The density estimate is performed on finite points -- particles -- generated by a stochastic sampling of the scene. In the course of the sampling, particles, representing light, are stochastically emitted from the light sources and reflected around the scene. The sampling induces noise, which in turn is handled by the density estimate during the illumination reconstruction. Unfortunately, this noise reduction imposes a systematic error (bias), which is seen as a blurring of prominent illumination features. This is often not desirable as these may lose clarity or vanish altogether.

We present an accurate method for reconstruction of indirect illumination with photon mapping. Instead of reconstructing illumination using classic density estimation on finite points, we use the correlation of light footprints, created by using Ray Differentials during the light pass. This procedure gives a high illumination accuracy, improving the trade-off between bias and variance considerable as compared to traditional particle tracing algorithms. In this way we preserve structures in indirect illumination.

Originalsprog	Engelsk
Titel	GRAPHITE 2007 : Proceedingsof the 5th international conference on computer graphics and interactive techniques in Australia and Southeast Asia, December 1-4, 2007, Perth, Western Austalia
Forlag	Association for Computing Machinery
Publikationsdato	2007
Sider	179-186
ISBN (Trykt)	978-1-59593-912-8
Status	Udgivet - 2007
Begivenhed	International Conference on Computer graphics and interactive techniques in Australia and Southeast Asia - Perth, Australien Varighed: 1 dec. 2007 → 4 dec. 2007 Konferencens nummer: 5

Konference

Konference	International Conference on Computer graphics and interactive techniques in Australia and Southeast Asia
Nummer	5
Land/Område	Australien
By	Perth
Periode	01/12/2007 → 04/12/2007

Emneord

Det Natur- og Biovidenskabelige Fakultet
Global belysning
Photon mapping
Ray tracing
Partikel sporing
Ray differentials

Citationsformater

Photon differentials. / Schjøth, Lars; Revall Frisvad, Jeppe; Erleben, Kenny et al.

GRAPHITE 2007: Proceedingsof the 5th international conference on computer graphics and interactive techniques in Australia and Southeast Asia, December 1-4, 2007, Perth, Western Austalia. Association for Computing Machinery, 2007. s. 179-186.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Schjøth, L, Revall Frisvad, J, Erleben, K & Sporring, J 2007, Photon differentials. i GRAPHITE 2007: Proceedingsof the 5th international conference on computer graphics and interactive techniques in Australia and Southeast Asia, December 1-4, 2007, Perth, Western Austalia. Association for Computing Machinery, s. 179-186, International Conference on Computer graphics and interactive techniques in Australia and Southeast Asia, Perth, Australien, 01/12/2007.

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abstract = "A number of popular global illumination algorithms uses density estimation to approximate indirect illumination. The density estimate is performed on finite points -- particles -- generated by a stochastic sampling of the scene. In the course of the sampling, particles, representing light, are stochastically emitted from the light sources and reflected around the scene. The sampling induces noise, which in turn is handled by the density estimate during the illumination reconstruction. Unfortunately, this noise reduction imposes a systematic error (bias), which is seen as a blurring of prominent illumination features. This is often not desirable as these may lose clarity or vanish altogether.We present an accurate method for reconstruction of indirect illumination with photon mapping. Instead of reconstructing illumination using classic density estimation on finite points, we use the correlation of light footprints, created by using Ray Differentials during the light pass. This procedure gives a high illumination accuracy, improving the trade-off between bias and variance considerable as compared to traditional particle tracing algorithms. In this way we preserve structures in indirect illumination.",

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AU - Schjøth, Lars

AU - Revall Frisvad, Jeppe

AU - Erleben, Kenny

AU - Sporring, Jon

N1 - Conference code: 5

PY - 2007

Y1 - 2007

N2 - A number of popular global illumination algorithms uses density estimation to approximate indirect illumination. The density estimate is performed on finite points -- particles -- generated by a stochastic sampling of the scene. In the course of the sampling, particles, representing light, are stochastically emitted from the light sources and reflected around the scene. The sampling induces noise, which in turn is handled by the density estimate during the illumination reconstruction. Unfortunately, this noise reduction imposes a systematic error (bias), which is seen as a blurring of prominent illumination features. This is often not desirable as these may lose clarity or vanish altogether.We present an accurate method for reconstruction of indirect illumination with photon mapping. Instead of reconstructing illumination using classic density estimation on finite points, we use the correlation of light footprints, created by using Ray Differentials during the light pass. This procedure gives a high illumination accuracy, improving the trade-off between bias and variance considerable as compared to traditional particle tracing algorithms. In this way we preserve structures in indirect illumination.

AB - A number of popular global illumination algorithms uses density estimation to approximate indirect illumination. The density estimate is performed on finite points -- particles -- generated by a stochastic sampling of the scene. In the course of the sampling, particles, representing light, are stochastically emitted from the light sources and reflected around the scene. The sampling induces noise, which in turn is handled by the density estimate during the illumination reconstruction. Unfortunately, this noise reduction imposes a systematic error (bias), which is seen as a blurring of prominent illumination features. This is often not desirable as these may lose clarity or vanish altogether.We present an accurate method for reconstruction of indirect illumination with photon mapping. Instead of reconstructing illumination using classic density estimation on finite points, we use the correlation of light footprints, created by using Ray Differentials during the light pass. This procedure gives a high illumination accuracy, improving the trade-off between bias and variance considerable as compared to traditional particle tracing algorithms. In this way we preserve structures in indirect illumination.

KW - Faculty of Science

KW - Global belysning

KW - Photon mapping

KW - Ray tracing

KW - Partikel sporing

KW - Ray differentials

KW - Global Illumination

KW - Photon mapping

KW - Ray tracing

KW - Particle tracing

KW - Ray differentials

M3 - Article in proceedings

SN - 978-1-59593-912-8

SP - 179

EP - 186

BT - GRAPHITE 2007

PB - Association for Computing Machinery

T2 - International Conference on Computer graphics and interactive techniques in Australia and Southeast Asia

Y2 - 1 December 2007 through 4 December 2007

ER -