Journal article 1910 views
Progressive photon relaxation
Ben Spencer,
Mark Jones 
ACM Transactions on Graphics, Volume: 32, Issue: 1, Pages: 1 - 11
Swansea University Author:
Mark Jones
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1145/2421636.2421643
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...
| Published in: | ACM Transactions on Graphics |
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| ISSN: | 0730-0301 |
| Published: |
2013
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa14350 |
| 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. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
1 |
| Start Page: |
1 |
| End Page: |
11 |