MPI-INF Logo
Publications

Server    domino.mpi-inf.mpg.de

Proceedings Article, Paper
@InProceedings
Beitrag in Tagungsband, Workshop

Author, Editor
Author(s):
Granados, Miguel
Adjin, Boris
Wand, Michael
Theobalt, Christian
Seidel, Hans-Peter
Lensch, Hendrik P. A.		dblp
dblp
dblp
dblp
dblp
dblp
Editor(s):
BibTeX cite key*:
Granados2010
Title, Booktitle
Title*:
Optimal HDR reconstruction with linear digital cameras
granados10_opthdr.pdf (534.22 KB)
Booktitle*:
2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010). - Pt. 1
Event, URLs
Conference URL::
http://cvl.umiacs.umd.edu/conferences/cvpr2010/
Downloading URL:
http://www.mpi-inf.mpg.de/~granados/papers/granados10_opthdr.pdf
Event Address*:
San Francisco, USA
Language:
English
Event Date*
(no longer used):
Organization:
Event Start Date:
13 June 2010
Event End Date:
18 June 2010
Publisher
Name*:
IEEE
URL:
Address*:
Piscataway, NJ
Type:
Vol, No, Year, pp.
Series:
Volume:
Number:
Month:
Pages:
215-222
Year*:
2010
VG Wort Pages:
ISBN/ISSN:
978-1-4244-6983-3
Sequence Number:
DOI:
10.1109/CVPR.2010.5540208
Note, Abstract, ©
(LaTeX) Abstract:
Given a multi-exposure sequence of a scene, our aim is to recover the absolute irradiance falling onto a linear camera sensor. The established approach is to perform a weighted average of the scaled input exposures. However, there is no clear consensus on the appropriate weighting to use. We propose a weighting function that produces statistically optimal estimates under the assumption of compound- Gaussian noise. Our weighting is based on a calibrated camera model that accounts for all noise sources. This model also allows us to simultaneously estimate the irradiance and its uncertainty. We evaluate our method on simulated and real world photographs, and show that we consistently improve the signal-to-noise ratio over previous approaches. Finally, we show the effectiveness of our model for optimal exposure sequence selection and HDR image denoising.
Copyright Message:
This CD-ROM product was produced for the 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) & 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) by Omnipress. Duplication of this CD-ROM and its content in print or digital form for the purpose of sharing with others is prohibited without permission from 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) & 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and Omnipress. Also, copying this product's instructions and/or designs for use on future CD-ROMs or digital products is prohibited without written permission from Omnipress.
Download
Access Level:
Public

Correlation
MPG Unit:
Max-Planck-Institut für Informatik
MPG Subunit:
Computer Graphics Group
Appearance:
MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{Granados2010,
AUTHOR = {Granados, Miguel and Adjin, Boris and Wand, Michael and Theobalt, Christian and Seidel, Hans-Peter and Lensch, Hendrik P. A.},
 TITLE = {Optimal {HDR} reconstruction with linear digital cameras},
 BOOKTITLE = {2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010). - Pt. 1},
 PUBLISHER = {IEEE},
 YEAR = {2010},
 PAGES = {215--222},
 ADDRESS = {San Francisco, USA},
 ISBN = {978-1-4244-6983-3},
 DOI = {10.1109/CVPR.2010.5540208},
}

Entry last modified by Anja Becker, 01/21/2011
Hide details for Edit History (please click the blue arrow to see the details)Edit History (please click the blue arrow to see the details)

Editor(s)
[Library]		Created
01/19/2011 10:37:37
Revisions
7.
6.
5.
4.
3.		Editor(s)
Anja Becker
Anja Becker
Miguel Andrés Granados Velásquez
Miguel Andrés Granados Velásquez
Miguel Andrés Granados Velásquez		Edit Dates
21.01.2011 14:55:40
21.01.2011 14:53:30
01/19/2011 10:44:32 AM
01/19/2011 10:43:02 AM
01/19/2011 10:39:51 AM

File Attachment Icon
granados10_opthdr.pdf