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dc.contributor.author
Trzcinski, Maciej Wieslaw
dc.date.accessioned
2017-06-13T20:11:26Z
dc.date.available
2017-06-13T20:11:26Z
dc.date.issued
2013
dc.identifier.uri
http://hdl.handle.net/20.500.11850/154091
dc.identifier.doi
10.3929/ethz-a-009959658
dc.format
application/pdf
dc.language.iso
en
dc.publisher
Eidgenössische Technische Hochschule Zürich, Computer Vision Lab
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
PROGRAMME UND ALGORITHMEN ZUR LÖSUNG SPEZIELLER PROBLEME
dc.subject
OBERFLÄCHENGENERIERUNG (COMPUTERGRAFIK)
dc.subject
COMPUTERVISION (KÜNSTLICHE INTELLIGENZ)
dc.subject
PROGRAMS AND ALGORITHMS FOR THE SOLUTION OF SPECIAL PROBLEMS
dc.subject
TEXTURE RENDERING (COMPUTER GRAPHICS)
dc.subject
COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE)
dc.title
Texture Aided Superpixel Segmentation
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2013
ethz.title.subtitle
Heuristic Texture Classification in the SEEDS Grid-Initialised Hill-Climbing Superpixel Generation Algorithm for Retrieval of Objects and Regions
ethz.size
Online-Ressource
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
ethz.notes
Master’s Thesis.
ethz.identifier.nebis
009959658
ethz.publication.place
Zürich
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory
ethz.date.deposited
2017-06-13T20:13:39Z
ethz.source
ECOL
ethz.identifier.importid
imp59366b4572df028382
ethz.ecolpid
eth:7357
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-15T19:22:08Z
ethz.rosetta.lastUpdated
2021-02-14T16:16:08Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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