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research article

Handheld reflectance acquisition of paintings

Thanikachalam, Niranjan  
•
Baboulaz, Loïc  
•
Firmenich, Damien  
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2017
IEEE Transactions on Computational Imaging

Relightable photographs are alternatives to traditional photographs as they provide a richer viewing experience. However, the complex acquisition systems of existing techniques have restricted its usage to specialized setups. We introduce an easy-to-use and affordable solution for using smartphones to acquire the reflectance of paintings and similar almost-planar objects like tablets, engravings and textile. Our goal is to enable interactive relighting of such artifacts by everyone. In our approach, we non-uniformly sample the reflectance functions by moving the LED light of a smartphone and simultaneously tracking the position of the smartphone by using its camera. We then propose a compressive-sensing based approach for reconstructing the light transport matrix from the non-uniformly sampled data. As shown with experiments, we accurately reconstruct the light transport matrix that can then be used to create relightable photographs.

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Type
research article
DOI
10.1109/TCI.2017.2749182
Web of Science ID

WOS:000415733800006

Author(s)
Thanikachalam, Niranjan  
Baboulaz, Loïc  
Firmenich, Damien  
Süsstrunk, Sabine  
Vetterli, Martin  
Date Issued

2017

Publisher

Ieee-Inst Electrical Electronics Engineers Inc

Published in
IEEE Transactions on Computational Imaging
Volume

3

Issue

4

Start page

580

End page

591

Subjects

Light transport matrix

•

computational relighting

•

image based relighting

•

compressive sensing

•

non-uniform sampling

•

mobile imaging

URL

URL

http://go.epfl.ch/relightables
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCAV  
IVRL  
Available on Infoscience
March 17, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/124986
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