A Compact Representation for Fluorescent Spectral Data

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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We propose a technique to efficiently importance sample and store fluorescent spectral data. Fluorescence behaviour is properly represented as a re-radiation matrix: for a given input wavelength, this matrix indicates how much energy is re-emitted at all other wavelengths. However, such a 2D representation has a significant memory footprint, especially when a scene contains a high number of fluorescent objects, or fluorescent textures. We propose to use Gaussian Mixture Domain to model re-radiation, which allows us to significantly reduce the memory footprint. Instead of storing the full matrix, we work with a set of Gaussian parameters that also allow direct importance sampling. When accuracy is a concern, one can still use the re-radiation matrix data, and just benefit from importance sampling provided by the Gaussian Mixture. Our method is useful when numerous fluorescent materials are present in a scene, an in particular for textures with fluorescent components.
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@inproceedings{
10.2312:sr.20211305
, booktitle = {
Eurographics Symposium on Rendering - DL-only Track
}, editor = {
Bousseau, Adrien and McGuire, Morgan
}, title = {{
A Compact Representation for Fluorescent Spectral Data
}}, author = {
Hua, Qingqin
and
Fichet, Alban
and
Wilkie, Alexander
}, year = {
2021
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-3463
}, ISBN = {
978-3-03868-157-1
}, DOI = {
10.2312/sr.20211305
} }
Citation