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Photon Parameterisation for Robust Relaxation Constraints

B Spencer, M.W Jones, Mark Jones Orcid Logo

Computer Graphics Forum, Volume: 32, Issue: 2pt1, Pages: 83 - 92

Swansea University Author: Mark Jones Orcid Logo

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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...

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Published in: Computer Graphics Forum
ISSN: 0167-7055
Published: 2013
Online Access: Check full text

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.
College: Faculty of Science and Engineering
Issue: 2pt1
Start Page: 83
End Page: 92