Extrapolating Large-Scale Material BTFs under Cross-Device Constraints
David Bommes, Tobias Ritschel, and Thomas Schultz (Editors)
In proceedings of Vision, Modeling & Visualization, pages 143-150, The Eurographics Association, 2015
Abstract
In this paper, we address the problem of acquiring bidirectional texture functions (BTFs) of large-scale material samples. Our approach fuses gonioreflectometric measurements of small samples with few constraint images taken on a flatbed scanner under semi-controlled conditions. Underlying our method is a lightweight texture synthesis scheme using a local texture descriptor that combines shading and albedo across devices. Since it operates directly on SVD-compressed BTF data, our method is computationally efficient and can be implemented on a moderate memory footprint.
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Bibtex
@INPROCEEDINGS{steinhausen2015crossdevice,
author = {Steinhausen, Heinz Christian and den Brok, Dennis and Hullin, Matthias B. and Klein, Reinhard},
editor = {Bommes, David and Ritschel, Tobias and Schultz, Thomas},
pages = {143--150},
title = {Extrapolating Large-Scale Material BTFs under Cross-Device Constraints},
booktitle = {Vision, Modeling {\&} Visualization},
year = {2015},
publisher = {The Eurographics Association},
abstract = {In this paper, we address the problem of acquiring bidirectional texture functions (BTFs) of
large-scale material
samples. Our approach fuses gonioreflectometric measurements of small samples with few constraint
images taken
on a flatbed scanner under semi-controlled conditions. Underlying our method is a lightweight
texture synthesis
scheme using a local texture descriptor that combines shading and albedo across devices. Since it
operates directly
on SVD-compressed BTF data, our method is computationally efficient and can be implemented on a
moderate
memory footprint.},
isbn = {978-3-905674-95-8},
doi = {10.2312/vmv.20151269}
}