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.

Original language	English
Title of host publication	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
Publisher	Association for Computing Machinery
Publication date	2007
Pages	179-186
ISBN (Print)	978-1-59593-912-8
Publication status	Published - 2007
Event	International Conference on Computer graphics and interactive techniques in Australia and Southeast Asia - Perth, Australia Duration: 1 Dec 2007 → 4 Dec 2007 Conference number: 5

Conference

Conference	International Conference on Computer graphics and interactive techniques in Australia and Southeast Asia
Number	5
Country/Territory	Australia
City	Perth
Period	01/12/2007 → 04/12/2007

Keywords

Faculty of Science
Global Illumination
Photon mapping
Ray tracing
Particle tracing
Ray differentials

Cite this

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. p. 179-186.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Schjøth, L, Revall Frisvad, J, Erleben, K & Sporring, J 2007, Photon differentials. in 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, pp. 179-186, International Conference on Computer graphics and interactive techniques in Australia and Southeast Asia, Perth, Australia, 01/12/2007.

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AU - Erleben, Kenny

AU - Sporring, Jon

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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

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EP - 186

BT - GRAPHITE 2007

PB - Association for Computing Machinery

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Y2 - 1 December 2007 through 4 December 2007

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