Real-Time Antialiased Area Lighting Using Multi-Scale Linearly Transformed Cosines

Simple item page
dc.contributor.authorTao, Chengzhien_US
dc.contributor.authorGuo, Jieen_US
dc.contributor.authorGong, Chenen_US
dc.contributor.authorWang, Beibeien_US
dc.contributor.authorGuo, Yanwenen_US
dc.contributor.editorLee, Sung-Hee and Zollmann, Stefanie and Okabe, Makoto and Wünsche, Burkharden_US
dc.date.accessioned2021-10-14T10:05:33Z
dc.date.available2021-10-14T10:05:33Z
dc.date.issued2021
dc.description.abstractWe present an anti-aliased real-time rendering method for local area lights based on Linearly Transformed Cosines (LTCs). It significantly reduces the aliasing artifacts of highlights reflected from area lights due to ignoring the meso-scale roughness (induced by normal maps). The proposed method separates the surface roughness into different scales and represents them all by LTCs. Then, spherical convolution is conducted between them to derive the overall normal distribution and the final Bidirectional Reflectance Distribution Function (BRDF). The overall surface roughness is further approximated by a polynomial function to guarantee high efficiency and avoid additional storage consumption. Experimental results show that our approach produces convincing results of multi-scale roughness across a range of viewing distances for local area lighting.en_US
dc.description.sectionheadersFast Rendering and Movement
dc.description.seriesinformationPacific Graphics Short Papers, Posters, and Work-in-Progress Papers
dc.identifier.doi10.2312/pg.20211380
dc.identifier.isbn978-3-03868-162-5
dc.identifier.pages7-12
dc.identifier.urihttps://doi.org/10.2312/pg.20211380
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20211380
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectReflectance modeling
dc.titleReal-Time Antialiased Area Lighting Using Multi-Scale Linearly Transformed Cosinesen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
007-012.pdf
Size:
27.12 MB
Format:
Adobe Portable Document Format
Download
Collections
PG2021 Short Papers, Posters, and Work-in-Progress Papers