Robust pointwise correspondences for point cloud based deformation monitoring of natural scenes
dc.contributor.author
Gojcic, Zan
dc.contributor.author
Zhou, Caifa
dc.contributor.author
Wieser, Andreas
dc.date.accessioned
2019-06-17T12:11:27Z
dc.date.available
2019-06-17T09:20:29Z
dc.date.available
2019-06-17T11:58:29Z
dc.date.available
2019-06-17T12:11:27Z
dc.date.issued
2019
dc.identifier.uri
http://hdl.handle.net/20.500.11850/347734
dc.language.iso
en
en_US
dc.publisher
JISDM
en_US
dc.subject
terrestrial laser scanning
en_US
dc.subject
deformation monitoring
en_US
dc.subject
deep learning
en_US
dc.subject
outlier detection
en_US
dc.subject
supervoxel
en_US
dc.title
Robust pointwise correspondences for point cloud based deformation monitoring of natural scenes
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of the 4th Joint International Symposium on Deformation Monitoring (JISDM 2019)
en_US
ethz.size
8 p.
en_US
ethz.event
4th Joint International Symposium on Deformation Monitoring (JISDM 2019)
en_US
ethz.event.location
Athens, Greece
en_US
ethz.event.date
May 15-17, 2019
en_US
ethz.publication.place
Athens, Greece
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::03964 - Wieser, Andreas / Wieser, Andreas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::03964 - Wieser, Andreas / Wieser, Andreas
en_US
ethz.relation.isPartOf
https://jisdm2019.org/index.php/proceedings/
ethz.date.deposited
2019-06-17T09:20:36Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2019-06-17T11:58:46Z
ethz.rosetta.lastUpdated
2019-06-17T12:11:37Z
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Conference Paper [35603]