Photon Parameterisation for Robust Relaxation Constraints
| dc.contributor.author | Spencer, Ben | en_US |
| dc.contributor.author | Jones, Mark W. | en_US |
| dc.contributor.editor | I. Navazo, P. Poulin | en_US |
| dc.date.accessioned | 2015-02-28T15:21:45Z | |
| dc.date.available | 2015-02-28T15:21:45Z | |
| dc.date.issued | 2013 | en_US |
| dc.description.abstract | This 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.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/cgf.12028 | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.title | Photon Parameterisation for Robust Relaxation Constraints | en_US |