Imperial College London
Alternate

ProfessorAbhijeetGhosh

Faculty of Engineering, Department of Computing

Professor of Graphics and Imaging
 
 
 
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Contact

 

+44 (0)20 7594 8351abhijeet.ghosh Website

 
 
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Location

 

376Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lin:2019:10.1111/cgf.13766,
author = {Lin, Y and Peers, P and Ghosh, A},
doi = {10.1111/cgf.13766},
journal = {Computer Graphics Forum},
title = {On-site example-based material appearance acquisition},
url = {http://dx.doi.org/10.1111/cgf.13766},
volume = {38},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We present a novel example-based material appearance modeling method suitable for rapid digital content creation. Ourmethod only requires a single HDR photograph of a homogeneous isotropic dielectric exemplar object under known naturalillumination. While conventional methods for appearance modeling require prior knowledge on the object shape, our methoddoes 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 procedurebased on binary RGB profile matching. We also model the appearance of materials exhibiting a regular or stationary texture-likeappearance, by synthesizing appropriate mesostructure from the same input HDR photograph and a mesostructure exemplarwith (roughly) similar features. We believe our lightweight method for on-site shape-agnostic appearance acquisition presentsa suitable alternative for a variety of applications that require plausible “rapid-appearance-modeling”
AU  - Lin,Y
AU  - Peers,P
AU  - Ghosh,A
DO  - 10.1111/cgf.13766
PY  - 2019///
SN  - 1467-8659
TI  - On-site example-based material appearance acquisition
T2  - Computer Graphics Forum
UR  - http://dx.doi.org/10.1111/cgf.13766
UR  - http://hdl.handle.net/10044/1/71784
VL  - 38
ER  -
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