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dc.contributor.author
Resch, Benjamin
dc.contributor.author
Lensch, Hendrik P.A.
dc.contributor.author
Wang, Oliver
dc.contributor.author
Pollefeys, Marc
dc.contributor.author
Sorkine-Hornung, Alexander
dc.date.accessioned
2018-05-02T06:54:02Z
dc.date.available
2017-06-11T20:09:58Z
dc.date.available
2018-05-02T06:54:02Z
dc.date.issued
2015
dc.identifier.isbn
978-1-4673-6964-0
en_US
dc.identifier.isbn
978-1-4673-6963-3
en_US
dc.identifier.isbn
978-1-4673-6965-7
en_US
dc.identifier.other
10.1109/CVPR.2015.7299019
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/105541
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Scalable structure from motion for densely sampled videos
en_US
dc.type
Conference Paper
dc.date.published
2015-10-15
ethz.book.title
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
en_US
ethz.journal.volume
5
en_US
ethz.pages.start
3936
en_US
ethz.pages.end
3944
en_US
ethz.event
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)
en_US
ethz.event.location
Boston, MA, USA
en_US
ethz.event.date
June 7-12, 2015
en_US
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03766 - Pollefeys, Marc / Pollefeys, Marc
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03766 - Pollefeys, Marc / Pollefeys, Marc
ethz.date.deposited
2017-06-11T20:10:02Z
ethz.source
ECIT
ethz.identifier.importid
imp59365394c9ac471162
ethz.ecitpid
pub:165161
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-15T00:11:42Z
ethz.rosetta.lastUpdated
2018-05-02T06:54:05Z
ethz.rosetta.versionExported
true
ethz.COinS
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