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.
Description
@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}
}