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  4. Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair
 
conference paper

Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair

Shahpaski, Marjan  
•
Sapaico, Luis Ricardo
•
Chevassus, Gaspard
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2017
30th IEEE Conference On Computer Vision And Pattern Recognition (CVPR 2017)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)

We present a novel method that allows for simultaneous geometric and radiometric calibration of a projector-camera pair. It is simple and does not require specialized hardware. We prewarp and align a specially designed projection pattern onto a printed pattern of different colorimetric properties. After capturing the patterns in several orientations, we perform geometric calibration by estimating the corner locations of the two patterns in different color channels. We perform radiometric calibration of the projector by using the information contained inside the projected squares. We show that our method performs on par with current approaches that all require separate geometric and radiometric calibration, while being more efficient and user friendly.

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Type
conference paper
DOI
10.1109/CVPR.2017.383
Web of Science ID

WOS:000418371403072

Author(s)
Shahpaski, Marjan  
Sapaico, Luis Ricardo
Chevassus, Gaspard
Süsstrunk, Sabine
Date Issued

2017

Publisher

IEEE

Publisher place

New York

Published in
30th IEEE Conference On Computer Vision And Pattern Recognition (CVPR 2017)
ISBN of the book

978-1-5386-0457-1

Total of pages

9

Series title/Series vol.

IEEE Conference on Computer Vision and Pattern Recognition

Start page

3596

End page

3604

Subjects

projector calibration

•

camera calibration

•

geometric

•

radiometric

•

structured light system

•

depth estimation

•

3D shape measurement

URL

URL

https://ivrl.epfl.ch/research-2/research-current/research-grc/
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
IVRL  
Event nameEvent placeEvent date
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)

Honolulu, Hawaii, USA

July 21-26, 2017

Available on Infoscience
April 6, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/136424
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