Show simple item record

dc.contributor.authorSpencer, Benen_US
dc.contributor.authorJones, Mark W.en_US
dc.contributor.editorI. Navazo, P. Poulinen_US
dc.date.accessioned2015-02-28T15:21:45Z
dc.date.available2015-02-28T15:21:45Z
dc.date.issued2013en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12028en_US
dc.description.abstractThis paper presents a novel approach to detecting and preserving fine illumination structure within photon maps. Data derived from each photon's primal trajectory is encoded and used to build a high-dimensional kd-tree. Incorporation of these new parameters allows for precise differentiation between intersecting ray envelopes, thus minimizing detail degradation when combined with photon relaxation. We demonstrate how parameter-aware querying is beneficial in both detecting and removing noise. We also propose a more robust structure descriptor based on principal components analysis that better identifies anisotropic detail at the sub-kernel level.We illustrate the effectiveness of our approach in several example scenes and show significant improvements when rendering complex caustics compared to previous methods.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titlePhoton Parameterisation for Robust Relaxation Constraintsen_US
dc.description.seriesinformationComputer Graphics Forumen_US


Files in this item

Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record