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Author, Editor

Author(s):

Granados, Miguel
Seidel, Hans-Peter
Lensch, Hendrik P. A.

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Editor(s):

Shaw, Chris
Bartram, Lyn

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Not MPII Editor(s):

Shaw, Chris
Bartram, Lyn

BibTeX cite key*:

Granados2008

Title, Booktitle

Title*:

Background inpainting in non-time image sequences


granados08_bgestimation.pdf+nocopyright (14189.31 KB)

Booktitle*:

Proceedings of the Graphics Interface 2008 Conference

Event, URLs

URL of the conference:

http://hvilab.iat.sfu.ca/GI2008/

URL for downloading the paper:

http://www.mpi-inf.mpg.de/~granados/papers/granados08_bgestimation.pdf

Event Address*:

Windsor, Ontario, Canada

Language:

English

Event Date*
(no longer used):


Organization:

The Canadian Human-Computer Communications Society

Event Start Date:

28 May 2008

Event End Date:

30 May 2008

Publisher

Name*:

ACM Press

URL:


Address*:

New York, NY, USA

Type:


Vol, No, Year, pp.

Series:

ACM International Conference Proceeding Series

Volume:


Number:


Month:


Pages:

33-40

Year*:

2008

VG Wort Pages:


ISBN/ISSN:

978-1-56881-423-0

Sequence Number:


DOI:

http://doi.acm.org/10.1145/1375714.1375721



Note, Abstract, ©


(LaTeX) Abstract:

We address the problem of reconstructing the background of
a scene from a set of photographs featuring several occluding
objects. We assume that the photographs are obtained from the same
viewpoint and under similar illumination conditions. Our approach
is to define the background as a composite of the input photographs.
Each possible composite is assigned a cost, and the resulting cost
function is minimized. We penalize deviations from the following
two model assumptions: background objects are stationary, and
background objects are more likely to appear across the photographs.
We approximate object stationariness using a motion boundary
consistency term, and object likelihood using probability density
estimates. The penalties are combined using an entropy-based
weighting function. Furthermore, we constraint the solution space
in order to avoid composites that cut through objects. The cost
function is minimized using graph cuts, and the final result is
composed using gradient domain fusion.
We demonstrate the application of our method to the recovering of
clean, unoccluded shots of crowded public places, as well as to the
removal of ghosting artifacts in the reconstruction of high dynamic
range images from multi-exposure sequences. Our contribution is the
definition of an automatic method for consistent background
estimation from multiple exposures featuring occluders, and its
application to the problem of ghost removal in high dynamic range
image reconstruction.

URL for the Abstract:

http://www.mpi-inf.mpg.de/~granados/projects/bgest/index.html

Keywords:

background estimation, clean plate generation, energy minimization, graph cuts, HDR reconstruction, ghost removal



Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Audience:

experts only

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{Granados2008,
AUTHOR = {Granados, Miguel and Seidel, Hans-Peter and Lensch, Hendrik P. A.},
EDITOR = {Shaw, Chris and Bartram, Lyn},
TITLE = {Background inpainting in non-time image sequences},
BOOKTITLE = {Proceedings of the Graphics Interface 2008 Conference},
PUBLISHER = {ACM Press},
YEAR = {2008},
ORGANIZATION = {The Canadian Human-Computer Communications Society},
PAGES = {33--40},
SERIES = {ACM International Conference Proceeding Series},
ADDRESS = {Windsor, Ontario, Canada},
ISBN = {978-1-56881-423-0},
DOI = {http://doi.acm.org/10.1145/1375714.1375721},
}


Entry last modified by Miguel Andrés Granados Velásquez, 12/20/2011
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Editor(s)
Miguel Andrés Granados Velásquez
Created
01/27/2009 04:29:07 PM
Revisions
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Editor(s)
Miguel Andrés Granados Velásquez
Miguel Andrés Granados Velásquez
Miguel Andrés Granados Velásquez
Thomas Schultz
Thomas Schultz
Edit Dates
12/20/2011 03:51:05 PM
02/09/2010 01:07:03 PM
02/09/2010 01:06:38 PM
03/26/2009 04:34:41 PM
01/27/2009 04:32:59 PM
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