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dc.contributor.author
Shin, Jiwon
dc.date.accessioned
2017-06-13T06:45:07Z
dc.date.available
2017-06-13T06:45:07Z
dc.date.issued
2008
dc.identifier.uri
http://hdl.handle.net/20.500.11850/150553
dc.identifier.doi
10.3929/ethz-a-005652826
dc.language.iso
en
dc.publisher
Swiss Federal Institute of Technology, Autonomous Systems Lab.
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
COMPUTERVISION (KÜNSTLICHE INTELLIGENZ)
dc.subject
OBJEKTERKENNUNG (ROBOTIK)
dc.subject
COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE)
dc.subject
OBJECT RECOGNITION (ROBOTICS)
dc.title
Parts-based object classification for range images
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
Online-Datei
ethz.code.ddc
0 - Computer science, information & general works::004 - Data processing, computer science
ethz.code.ddc
6 - Technology, medicine and applied sciences::621.3 - Electric engineering
ethz.notes
Master-thesis, Swiss Federal Institute of Technology Zurich, 2008.
ethz.identifier.nebis
005652826
ethz.publication.place
Zürich
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02130 - Departement Maschinenbau und Verfahrenstechnik / Department of Mechanical and Process Engineering::02620 - Institut für Robotik und Intelligente Systeme (IRIS) / Institute of Robotics and Intelligent Systems (IRIS)::03737 - Siegwart, Roland Y.
ethz.date.deposited
2017-06-13T06:55:26Z
ethz.source
ECOL
ethz.identifier.importid
imp59366ac29423469157
ethz.ecolpid
eth:30641
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-14T13:34:53Z
ethz.rosetta.lastUpdated
2017-11-01T04:52:24Z
ethz.rosetta.versionExported
true
ethz.COinS
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