Journal article 1587 views
Photon Parameterisation for Robust Relaxation Constraints
Computer Graphics Forum, Volume: 32, Issue: 2pt1, Pages: 83 - 92
Swansea University Author: Mark Jones
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DOI (Published version): 10.1111/cgf.12028
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 be...
Published in: | Computer Graphics Forum |
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ISSN: | 0167-7055 |
Published: |
2013
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa14358 |
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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. |
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College: |
Faculty of Science and Engineering |
Issue: |
2pt1 |
Start Page: |
83 |
End Page: |
92 |