Bias Compensation for Photon Maps

dc.contributor.authorRoland Schregleen_US
dc.date.accessioned2014-07-29T13:41:50Z
dc.date.available2014-07-29T13:41:50Z
dc.date.issued2003en_US
dc.description.abstractDensity estimation techniques such as the photon map method rely on a particle transport simulation to reconstruct indirect illumination, which is proportional to the particle density. In the photon map framework, particles are usually located using nearest-neighbour methods due to their generality. However, these methods have an inherent tradeoff between local bias and noise in the reconstructed illumination, which depends on the density estimate bandwidth. This paper presents a bias compensating operator for nearest-neighbour density estimation which adapts the bandwidth according to the estimated bias in the reconstructed illumination.ACM CSS: I.3.7 Three-Dimensional Graphics and Realism Raytracingen_US
dc.description.number4en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume22en_US
dc.identifier.doi10.1111/j.1467-8659.2003.00720.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2003.00720.xen_US
dc.publisherBlackwell Publishing, Inc and Eurographics Associationen_US
dc.titleBias Compensation for Photon Mapsen_US
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