Photon Parameterisation for Robust Relaxation Constraints
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Date
2013
Authors
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Journal ISSN
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Publisher
The Eurographics Association and Blackwell Publishing Ltd.
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.
Description
@article{10.1111:cgf.12028,
journal = {Computer Graphics Forum},
title = {{Photon Parameterisation for Robust Relaxation Constraints}},
author = {Spencer, Ben and Jones, Mark W.},
year = {2013},
publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.12028}
}