"On-Site Example-Based Material Appearance Acquisition"
Computer Graphics Forum, Volume 38, Issue 4, July 2019
Abstract
We present a novel example-based material appearance modeling method suitable for rapid digital content creation. Our method only requires a single HDR photograph of a homogeneous isotropic dielectric exemplar object under known natural illumination. While conventional methods for appearance modeling require prior knowledge on the object shape, our method does not, nor does it recover the shape explicitly, greatly simplifying on-site appearance acquisition to a lightweight photography process suited for non-expert users. As our central contribution, we propose a shape-agnostic BRDF estimation procedure based on binary RGB profile matching. We also model the appearance of materials exhibiting a regular or stationary texture-like appearance, by synthesizing appropriate mesostructure from the same input HDR photograph and a mesostructure exemplar with (roughly) similar features. We believe our lightweight method for on-site shape-agnostic appearance acquisition presents a suitable alternative for a variety of applications that require plausible ``rapid-appearance-modeling''.
Download
Supplementary Material
Related Publications
Bibtex
Computer Graphics Forum, Volume 38, Issue 4, July 2019
AbstractWe present a novel example-based material appearance modeling method suitable for rapid digital content creation. Our method only requires a single HDR photograph of a homogeneous isotropic dielectric exemplar object under known natural illumination. While conventional methods for appearance modeling require prior knowledge on the object shape, our method does not, nor does it recover the shape explicitly, greatly simplifying on-site appearance acquisition to a lightweight photography process suited for non-expert users. As our central contribution, we propose a shape-agnostic BRDF estimation procedure based on binary RGB profile matching. We also model the appearance of materials exhibiting a regular or stationary texture-like appearance, by synthesizing appropriate mesostructure from the same input HDR photograph and a mesostructure exemplar with (roughly) similar features. We believe our lightweight method for on-site shape-agnostic appearance acquisition presents a suitable alternative for a variety of applications that require plausible ``rapid-appearance-modeling''.
Download
- Lin_CGF2019.pdf (9.31Mb)
Supplementary Material
- Document: Lin_CGF2019_supplemental.pdf (0.06Mb)
Related Publications
-
"On-site Example-based Material Appearance Digitization",
ACM SIGGRAPH 2018 Posters,
Vancouver, Canada,
August 2018,
@article{Lin:2019:OEM,
author = {Lin, Yiming and Peers, Pieter and Ghosh, Abhijeet},
title = {On-Site Example-Based Material Appearance Acquisition},
month = {July},
year = {2019},
journal = {Computer Graphics Forum},
volume = {38},
number = {4},
doi = {http://doi.org/10.1111/cgf.13766},
}
author = {Lin, Yiming and Peers, Pieter and Ghosh, Abhijeet},
title = {On-Site Example-Based Material Appearance Acquisition},
month = {July},
year = {2019},
journal = {Computer Graphics Forum},
volume = {38},
number = {4},
doi = {http://doi.org/10.1111/cgf.13766},
}