A Low-Dimensional Perceptual Space for Intuitive BRDF Editing

dc.contributor.authorShi, Weiqien_US
dc.contributor.authorWang, Zeyuen_US
dc.contributor.authorSoler, Cyrilen_US
dc.contributor.authorRushmeier, Hollyen_US
dc.contributor.editorBousseau, Adrien and McGuire, Morganen_US
dc.date.accessioned2021-07-12T12:13:45Z
dc.date.available2021-07-12T12:13:45Z
dc.date.issued2021
dc.description.abstractUnderstanding and characterizing material appearance based on human perception is challenging because of the highdimensionality and nonlinearity of reflectance data. We refer to the process of identifying specific characteristics of material appearance within the same category as material estimation, in contrast to material categorization which focuses on identifying inter-category differences [FNG15]. In this paper, we present a method to simulate the material estimation process based on human perception. We create a continuous perceptual space for measured tabulated data based on its underlying low-dimensional manifold. Unlike many previous works that only address individual perceptual attributes (such as gloss), we focus on extracting all possible dimensions that can explain the perceived differences between appearances. Additionally, we propose a new material editing interface that combines image navigation and sliders to visualize each perceptual dimension and facilitate the editing of tabulated BRDFs. We conduct a user study to evaluate the efficacy of the perceptual space and the interface in terms of appearance matching.en_US
dc.description.sectionheadersPerception
dc.description.seriesinformationEurographics Symposium on Rendering - DL-only Track
dc.identifier.doi10.2312/sr.20211302
dc.identifier.isbn978-3-03868-157-1
dc.identifier.issn1727-3463
dc.identifier.pages191-203
dc.identifier.urihttps://doi.org/10.2312/sr.20211302
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/sr20211302
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectPerception
dc.titleA Low-Dimensional Perceptual Space for Intuitive BRDF Editingen_US
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