Appearance Bending: A Perceptual Editing Paradigm for Data-Driven Material Models

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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
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@inproceedings{
10.2312:vmv.20171254
, booktitle = {
Vision, Modeling & Visualization
}, editor = {
Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao
}, title = {{
Appearance Bending: A Perceptual Editing Paradigm for Data-Driven Material Models
}}, author = {
Mylo, Marlon
and
Giesel, Martin
and
Zaidi, Qasim
and
Hullin, Matthias
and
Klein, Reinhard
}, year = {
2017
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-049-9
}, DOI = {
10.2312/vmv.20171254
} }
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