Real‐Time Polygonal Lighting of Iridescence Effect using Precomputed Monomial‐Gaussians

dc.contributor.authorLiu, Zhengzeen_US
dc.contributor.authorHuo, Yuchien_US
dc.contributor.authorYang, Yinhuien_US
dc.contributor.authorChen, Jieen_US
dc.contributor.authorWang, Ruien_US
dc.contributor.editorAlliez, Pierreen_US
dc.contributor.editorWimmer, Michaelen_US
dc.date.accessioned2024-12-19T11:15:37Z
dc.date.available2024-12-19T11:15:37Z
dc.date.issued2024
dc.description.abstractThe real world consists of mass phenomena, such as iridescence on thin film and metal oxide layers, that is only explicable by wave optics. Existing research can reproduce such effects with simple point lights or low‐frequency environmental lighting. However, it remains a difficult task to efficiently rendering these effects when near‐field, high‐frequency area lights are involved. This paper presents a high‐fidelity, real‐time rendering algorithm for the iridescence effect under polygonal lights. We introduce a novel set of spherical functions, Monomial‐Gaussians, to accurately fit iridescent materials' reflectance. With a precomputed lookup table, the Monomial‐Gaussians are easily integrated over spherical polygons in linear time. Importance sampling of Monomial‐Gaussians is also supported to efficiently reduce Monte‐Carlo error. Our approach produces accurate renderings of the iridescence effect while still preserving high frame rates.en_US
dc.description.number6
dc.description.sectionheadersMajor Revision from Eurographics Conference
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume43
dc.identifier.doi10.1111/cgf.14991
dc.identifier.pages14 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14991
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf14991
dc.publisher© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.subjectiridescence
dc.subjectpolygonal lighting
dc.subjectspherical basis function
dc.titleReal‐Time Polygonal Lighting of Iridescence Effect using Precomputed Monomial‐Gaussiansen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
15_cgf14991.pdf
Size:
6.03 MB
Format:
Adobe Portable Document Format
Collections