| 
Appearance Bending: A Perceptual Editing Paradigm for Data-Driven Material Models
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.
Bilder
 |
Paper herunterladen
Bibtex
@INPROCEEDINGS{2017_mylo_appearancebending,
author = {Mylo, Marlon and Giesel, Martin and Zaidi, Qasim and Hullin, Matthias B. and Klein, Reinhard},
title = {Appearance Bending: A Perceptual Editing Paradigm for Data-Driven Material Models},
booktitle = {Vision, Modeling {\&} Visualization},
year = {2017},
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.}
}