Photon differentials
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Standard
Photon differentials. / Schjøth, Lars; Frisvad, Jeppe Revall; Erleben, Kenny; Sporring, Jon.
Proceedings - GRAPHITE 2007, 5th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia. 2007. p. 179-186 (Proceedings - GRAPHITE 2007, 5th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - GEN
T1 - Photon differentials
AU - Schjøth, Lars
AU - Frisvad, Jeppe Revall
AU - Erleben, Kenny
AU - Sporring, Jon
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 - caustics
KW - global illumination
KW - photon mapping
KW - ray differentials
KW - ray-tracing
UR - http://www.scopus.com/inward/record.url?scp=77956321822&partnerID=8YFLogxK
U2 - 10.1145/1321261.1321293
DO - 10.1145/1321261.1321293
M3 - Article in proceedings
AN - SCOPUS:77956321822
SN - 9781595939128
T3 - Proceedings - GRAPHITE 2007, 5th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia
SP - 179
EP - 186
BT - Proceedings - GRAPHITE 2007, 5th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia
T2 - 5th International Conference on Computer Graphics and Interactive Techniques in Australasia and South-East Asia, GRAPHITE 2007
Y2 - 1 December 2007 through 4 December 2007
ER -
ID: 306858736