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Progressive photon relaxation / Mark, Jones

ACM Transactions on Graphics, Volume: 32, Issue: 1, Pages: 1 - 11

Swansea University Author: Mark, Jones

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Abstract

We introduce a novel algorithm for progressively removing noise from view-independent photon maps while simultaneously minimizing residual bias. Our method refines a primal set of photons using data from multiple successive passes to estimate the incident flux local to each photon. We show how this...

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Published in: ACM Transactions on Graphics
ISSN: 0730-0301
Published: 2013
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa14350
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Abstract: We introduce a novel algorithm for progressively removing noise from view-independent photon maps while simultaneously minimizing residual bias. Our method refines a primal set of photons using data from multiple successive passes to estimate the incident flux local to each photon. We show how this information can be used to guide a relaxation step with the goal of enforcing a constant, per-photon flux. Using a reformulation of the radiance estimate, we demonstrate how the resulting blue noise photon distribution yields a radiance reconstruction in which error is significantly reduced. Our approach has an open-ended runtime of the same order as unbiased and asymptotically consistent rendering methods, converging over time to a stable result. We demonstrate its effectiveness at storing caustic illumination within a view-independent framework and at a fidelity visually comparable to reference images rendered using progressive photon mapping.
College: College of Science
Issue: 1
Start Page: 1
End Page: 11