Appearance Bending: A Perceptual Editing Paradigm for Data-Driven Material Models
dc.contributor.author | Mylo, Marlon | en_US |
dc.contributor.author | Giesel, Martin | en_US |
dc.contributor.author | Zaidi, Qasim | en_US |
dc.contributor.author | Hullin, Matthias | en_US |
dc.contributor.author | Klein, Reinhard | en_US |
dc.contributor.editor | Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao | en_US |
dc.date.accessioned | 2017-09-25T06:54:46Z | |
dc.date.available | 2017-09-25T06:54:46Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Data-driven representations of material appearance play an important role in a wide range of applications. Unlike with analytical models, however, the intuitive and efficient editing of tabulated reflectance data is still an open problem. In this work, we introduce appearance bending, a set of image-based manipulation operators, such as thicken, inflate, and roughen, that implement recent insights from perceptual studies. In particular, we exploit a link between certain perceived visual properties of a material, and specific bands in its spectrum of spatial frequencies or octaves of a wavelet decomposition. The result is an editing interface that produces plausible results at interactive rates, even for drastic manipulations. We present the effectiveness of our method on a database of bidirectional texture functions (BTFs) for a variety of material samples. | en_US |
dc.description.sectionheaders | Editing | |
dc.description.seriesinformation | Vision, Modeling & Visualization | |
dc.identifier.doi | 10.2312/vmv.20171254 | |
dc.identifier.isbn | 978-3-03868-049-9 | |
dc.identifier.pages | 9-16 | |
dc.identifier.uri | https://doi.org/10.2312/vmv.20171254 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/vmv20171254 | |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Computing methodologies | |
dc.subject | Image processing | |
dc.subject | Image | |
dc.subject | based rendering | |
dc.title | Appearance Bending: A Perceptual Editing Paradigm for Data-Driven Material Models | en_US |
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