An Adaptive Metric for BRDF Appearance Matching

dc.contributor.authorBieron, Jamesen_US
dc.contributor.authorPeers, Pieteren_US
dc.contributor.editorKlein, Reinhard and Rushmeier, Hollyen_US
dc.date.accessioned2020-08-23T17:39:14Z
dc.date.available2020-08-23T17:39:14Z
dc.date.issued2020
dc.description.abstractImage-based BRDF matching is a special case of inverse rendering, where the parameters of a BRDF model are optimized based on a photograph of a homogeneous material under natural lighting. Using a perceptual image metric, directly optimizing the difference between a rendering and a reference image can provide a close visual match between the model and reference material. However, perceptual image metrics rely on image-features and thus require full resolution renderings that can be costly to produce especially when embedded in a non-linear search procedure for the optimal BRDF parameters. Using a pixel-based metric, such as the squared difference, can approximate the image error from a small subset of pixels. Unfortunately, pixel-based metrics are often a poor approximation of human perception of the material's appearance. We show that comparable quality results to a perceptual metric can be obtained using an adaptive pixel-based metric that is optimized based on the appearance similarity of the material. As the core of our adaptive metric is pixel-based, our method is amendable to imagesubsampling, thereby greatly reducing the computational cost.en_US
dc.description.sectionheadersAcquiring Accurate Input
dc.description.seriesinformationWorkshop on Material Appearance Modeling
dc.identifier.doi10.2312/mam.20201137
dc.identifier.isbn978-3-03868-108-3
dc.identifier.issn2309-5059
dc.identifier.pages1-4
dc.identifier.urihttps://doi.org/10.2312/mam.20201137
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/mam20201137
dc.publisherThe Eurographics Associationen_US
dc.titleAn Adaptive Metric for BRDF Appearance Matchingen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
001-004.pdf
Size:
6.63 MB
Format:
Adobe Portable Document Format